Triple

T8294294
Position Surface form Disambiguated ID Type / Status
Subject Crispin Glover E194175 entity
Predicate father P120 FINISHED
Object Bruce Glover E723559 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: Bruce Glover | Statement: [Crispin Glover, father, Bruce Glover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Glover
Context triple: [Crispin Glover, father, Bruce Glover]
  • A. Bruce Glover chosen
    Bruce Glover is an American character actor best known for his eccentric roles in films such as the James Bond movie "Diamonds Are Forever" and as the father of actor Crispin Glover.
  • B. John Grover
    John Grover is a film editor best known for his work on action and thriller movies, including the James Bond film series.
  • C. Sam Baldwin
    Sam Baldwin is the widowed architect and devoted father portrayed by Tom Hanks in the romantic comedy film "Sleepless in Seattle."
  • D. Guy Bensley
    Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
  • E. Guy Stockwell
    Guy Stockwell was an American film and television actor known for his prolific character roles from the 1950s through the 1980s.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd952e038c819090023cbcdab1e3ae completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:52 p.m.