Triple

T9199965
Position Surface form Disambiguated ID Type / Status
Subject Dan Gilroy E220811 entity
Predicate sibling P363 FINISHED
Object John Gilroy E40817 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: John Gilroy | Statement: [Dan Gilroy, sibling, John Gilroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Gilroy
Context triple: [Dan Gilroy, sibling, John Gilroy]
  • A. John Gilroy chosen
    John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
  • B. John McDonough
    John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
  • C. Philip Keenan
    Philip Keenan was an American astronomer best known for co-developing the Morgan–Keenan (MK) stellar classification system that remains a standard in astrophysics.
  • D. Philip McKeon
    Philip McKeon was an American actor best known for playing Tommy Hyatt, the son of the title character, on the sitcom "Alice."
  • E. Don Graham
    Don Graham is a real estate developer best known for his role in creating Honolulu’s Ala Moana Center, one of the largest open-air shopping malls in the world.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd881c5d48190bbc33fac71a1d849 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f36f72bc8190bf195a78bafcd873 completed April 4, 2026, 11:18 a.m.
Created at: March 30, 2026, 7:25 p.m.