Triple

T2636365
Position Surface form Disambiguated ID Type / Status
Subject Hans Fitting E59755 entity
Predicate familyName P18 FINISHED
Object Fitting
Fitting is a German surname most notably associated with Hans Fitting, a mathematician known for his contributions to group theory and the concept of the Fitting subgroup.
 E283602 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: Fitting | Statement: [Hans Fitting, familyName, Fitting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fitting
Context triple: [Hans Fitting, familyName, Fitting]
  • A. Fitter
    Fitter is the NATO reporting name for the Soviet-designed Sukhoi Su-17/20/22 family of variable-sweep wing fighter-bomber aircraft.
  • B. Fittja
    Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
  • C. The Fit
    The Fit is a literary work by British novelist and critic Philip Hensher, known for his sharp social observation and nuanced character portrayal.
  • D. Fixin
    Fixin is a Burgundy wine appellation in eastern France known for its robust red wines made primarily from Pinot Noir.
  • E. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • 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: Fitting
Triple: [Hans Fitting, familyName, Fitting]
Generated description
Fitting is a German surname most notably associated with Hans Fitting, a mathematician known for his contributions to group theory and the concept of the Fitting subgroup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fitting
Target entity description: Fitting is a German surname most notably associated with Hans Fitting, a mathematician known for his contributions to group theory and the concept of the Fitting subgroup.
  • A. Fitter
    Fitter is the NATO reporting name for the Soviet-designed Sukhoi Su-17/20/22 family of variable-sweep wing fighter-bomber aircraft.
  • B. Fittja
    Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
  • C. The Fit
    The Fit is a literary work by British novelist and critic Philip Hensher, known for his sharp social observation and nuanced character portrayal.
  • D. Fixin
    Fixin is a Burgundy wine appellation in eastern France known for its robust red wines made primarily from Pinot Noir.
  • E. FIO
    FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e1fffc81908e4921690098c8db completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b3e9b48190857ae21022a4fb15 completed March 10, 2026, 3:32 a.m.
NEDg Description generation batch_69af922043508190a9a9ceced2425109 completed March 10, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69af927bb1d0819081ab11eb4470e28d completed March 10, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:50 p.m.