Triple

T17521086
Position Surface form Disambiguated ID Type / Status
Subject TensorFlow Estimators E426678 entity
Predicate hasExampleImplementation P127768 FINISHED
Object LinearRegressor
LinearRegressor is a TensorFlow Estimator that implements linear regression models for predicting continuous values from input features.
E1274350 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LinearRegressor | Statement: [TensorFlow Estimators, hasExampleImplementation, LinearRegressor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LinearRegressor
Context triple: [TensorFlow Estimators, hasExampleImplementation, LinearRegressor]
  • A. Regression
    Regression is a 2015 psychological thriller film directed by Alejandro Amenábar, centered on a detective investigating a disturbing case of alleged satanic ritual abuse in 1990s Minnesota.
  • B. LogisticRegression
    LogisticRegression is a scikit-learn machine learning estimator that models the probability of class membership using a linear decision boundary with logistic (sigmoid) or related link functions.
  • C. Bayesian linear regression
    Bayesian linear regression is a statistical modeling approach that treats regression coefficients and predictions probabilistically by placing prior distributions on parameters and updating them with observed data.
  • D. Linear Estimation
    Linear Estimation is a foundational text in signal processing and control theory that systematically develops the theory and applications of optimal estimation, including Kalman filtering and related methods.
  • E. LINEAR
    LINEAR (Lincoln Near-Earth Asteroid Research) is an automated survey program that uses ground-based telescopes to discover and track near-Earth objects such as asteroids and comets.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LinearRegressor
Triple: [TensorFlow Estimators, hasExampleImplementation, LinearRegressor]
Generated description
LinearRegressor is a TensorFlow Estimator that implements linear regression models for predicting continuous values from input features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LinearRegressor
Target entity description: LinearRegressor is a TensorFlow Estimator that implements linear regression models for predicting continuous values from input features.
  • A. Regression
    Regression is a 2015 psychological thriller film directed by Alejandro Amenábar, centered on a detective investigating a disturbing case of alleged satanic ritual abuse in 1990s Minnesota.
  • B. LogisticRegression
    LogisticRegression is a scikit-learn machine learning estimator that models the probability of class membership using a linear decision boundary with logistic (sigmoid) or related link functions.
  • C. Bayesian linear regression
    Bayesian linear regression is a statistical modeling approach that treats regression coefficients and predictions probabilistically by placing prior distributions on parameters and updating them with observed data.
  • D. Linear Estimation
    Linear Estimation is a foundational text in signal processing and control theory that systematically develops the theory and applications of optimal estimation, including Kalman filtering and related methods.
  • E. LINEAR
    LINEAR (Lincoln Near-Earth Asteroid Research) is an automated survey program that uses ground-based telescopes to discover and track near-Earth objects such as asteroids and comets.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c94237d08190bb1f874735c87803 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.