Triple

T20521858
Position Surface form Disambiguated ID Type / Status
Subject Tom Stevens E503828 entity
Predicate hasName P744 FINISHED
Object Tom Stevens NE NERFINISHED

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: Tom Stevens | Statement: [Tom Stevens, hasName, Tom Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Stevens
Context triple: [Tom Stevens, hasName, Tom Stevens]
  • A. Tom Stevens
    Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
  • B. Tom Stevens chosen
    Tom Stevens is a Canadian actor best known for his role in the television series Wayward Pines.
  • C. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • D. 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.
  • E. Jeremy Stevens
    Jeremy Stevens is an American television and film writer best known for his work on comedy projects, including the screenplay for the 1985 film "Summer Rental."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f46488c819093687b4e07837793 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.