Triple

T657826
Position Surface form Disambiguated ID Type / Status
Subject Gray Davis E11686 entity
Predicate givenName P17 FINISHED
Object Joseph
Joseph is the first name of Gray Davis, the former governor of California.
E91780 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: Joseph | Statement: [Gray Davis, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph
Context triple: [Gray Davis, givenName, Joseph]
  • A. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • B. Joseph
    Joseph is the husband of Mary in the New Testament and the earthly guardian of Jesus, venerated in Christianity as a model of humility, obedience, and fatherhood.
  • C. Joseph
    Joseph is the full given name of American sportscaster Joe Buck, known for his play-by-play announcing of major NFL and MLB games.
  • D. Joseph
    Joseph is the given name of Joe Fulks, an early professional basketball star often credited as one of the NBA’s first great scorers.
  • E. Joseph
    Joseph is the given name of the French mathematician and physicist Jean-Baptiste Joseph Fourier, known for developing Fourier analysis and Fourier series.
  • 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: Joseph
Triple: [Gray Davis, givenName, Joseph]
Generated description
Joseph is the first name of Gray Davis, the former governor of California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joseph
Target entity description: Joseph is the first name of Gray Davis, the former governor of California.
  • A. Joseph
    Joseph is the given name of Joe DiMaggio, the legendary American baseball center fielder for the New York Yankees.
  • B. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • C. Joseph
    Joseph is the given name of Joe Fulks, an early professional basketball star often credited as one of the NBA’s first great scorers.
  • D. Joseph
    Joseph is the given name of the French mathematician and physicist Jean-Baptiste Joseph Fourier, known for developing Fourier analysis and Fourier series.
  • E. Joseph
    Joseph is the full given name of American sportscaster Joe Buck, known for his play-by-play announcing of major NFL and MLB games.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d8cd1e481908b77e4db0b6681bf completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66e16c7bc8190a6aea054bac99c4c completed March 3, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69a66e7dd53c8190bdb3768abd80ba8d completed March 3, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:36 p.m.