Triple

T15025649
Position Surface form Disambiguated ID Type / Status
Subject Bert Glennon E378205 entity
Predicate name P16 FINISHED
Object Bert Glennon E378205 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: Bert Glennon | Statement: [Bert Glennon, name, Bert Glennon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bert Glennon
Context triple: [Bert Glennon, name, Bert Glennon]
  • A. Bert Glennon chosen
    Bert Glennon was an American cinematographer known for his work on numerous classic Hollywood films, particularly in the 1920s–1940s.
  • B. Glenn Walters
    Glenn Walters was a benefactor and community figure whose support for the arts led to a cultural arts center being named in his honor.
  • C. Bert Jones
    Bert Jones is a former American NFL quarterback best known for his standout play with the Baltimore Colts in the 1970s.
  • D. Jack Bicknell
    Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
  • E. Terry Coombs
    Terry Coombs is a character in Stephen King and Owen King's novel "Sleeping Beauties," involved in the mysterious global phenomenon that causes women to fall into an otherworldly sleep.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.