Triple

T17087621
Position Surface form Disambiguated ID Type / Status
Subject Jill Latiano E414639 entity
Predicate appearedIn P795 FINISHED
Object Lower Learning
Lower Learning is a 2008 comedy film about corrupt and incompetent staff at a failing elementary school.
E1249132 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: Lower Learning | Statement: [Jill Latiano, appearedIn, Lower Learning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Learning
Context triple: [Jill Latiano, appearedIn, Lower Learning]
  • A. Low Entrance
    Low Entrance is an alternative name for the Door of Humility, the small, low doorway that serves as the main entrance to the Church of the Nativity in Bethlehem.
  • B. Less
    Less is a dynamic stylesheet language that extends CSS with features like variables, mixins, and functions to make writing and maintaining styles more efficient.
  • C. Elementary
    "Elementary" is a modern American television drama that reimagines Sherlock Holmes as a contemporary detective in New York City working alongside Dr. Joan Watson.
  • D. Slow Learner
    Slow Learner is a musical artist known for performing experimental, atmospheric tracks associated with the project Entropy.
  • E. Slow Learner
    Slow Learner is a collection of early short stories by American novelist Thomas Pynchon, showcasing the development of his distinctive postmodern style.
  • 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: Lower Learning
Triple: [Jill Latiano, appearedIn, Lower Learning]
Generated description
Lower Learning is a 2008 comedy film about corrupt and incompetent staff at a failing elementary school.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lower Learning
Target entity description: Lower Learning is a 2008 comedy film about corrupt and incompetent staff at a failing elementary school.
  • A. Low Entrance
    Low Entrance is an alternative name for the Door of Humility, the small, low doorway that serves as the main entrance to the Church of the Nativity in Bethlehem.
  • B. Less
    Less is a dynamic stylesheet language that extends CSS with features like variables, mixins, and functions to make writing and maintaining styles more efficient.
  • C. Elementary
    "Elementary" is a modern American television drama that reimagines Sherlock Holmes as a contemporary detective in New York City working alongside Dr. Joan Watson.
  • D. Slow Learner
    Slow Learner is a musical artist known for performing experimental, atmospheric tracks associated with the project Entropy.
  • E. Slow Learner
    Slow Learner is a collection of early short stories by American novelist Thomas Pynchon, showcasing the development of his distinctive postmodern style.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.