Triple

T8976872
Position Surface form Disambiguated ID Type / Status
Subject Hal Stevens E214412 entity
Predicate nameInEnglish P3437 FINISHED
Object Hal Stevens E214412 NE FINISHED

How this triple was built (2 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: Hal Stevens | Statement: [Hal Stevens, nameInEnglish, Hal Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hal Stevens
Context triple: [Hal Stevens, nameInEnglish, Hal Stevens]
  • A. Hal Stevens chosen
    Hal Stevens is an individual notable enough to be recognized as a bearer of the surname Stevens, though specific widely known achievements or roles are not clearly documented.
  • B. David Stevens
    David Stevens was an Australian screenwriter and director best known for co-writing the acclaimed film "Breaker Morant" and his work in film, television, and theatre.
  • C. Tom Stevens
    Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
  • D. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • E. Roger Stevens
    Roger Stevens was a prominent British civil servant and diplomat who notably served as the first Vice-Chancellor of the University of Leeds.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6786c880819088393bb107a7364c completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0afe9688190bdd66198ab31c2c7 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:02 p.m.