Triple

T14432728
Position Surface form Disambiguated ID Type / Status
Subject Gastineau E357874 entity
Predicate hasNotableBearer P458 FINISHED
Object Mark Gastineau E71482 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: Mark Gastineau | Statement: [Gastineau, hasNotableBearer, Mark Gastineau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Gastineau
Context triple: [Gastineau, hasNotableBearer, Mark Gastineau]
  • A. Mark Gastineau chosen
    Mark Gastineau is a former American football defensive end best known as a star pass rusher for the New York Jets in the 1980s and a key member of the famed "New York Sack Exchange" defensive line.
  • B. David Beaubaire
    David Beaubaire is a film producer known for his work on the movie "Fatherhood."
  • C. Paul Gervais
    Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
  • D. Joel Desrouleaux
    Joel Desrouleaux is the brother of American singer, songwriter, and dancer Jason Derulo.
  • E. Eric Gautier
    Eric Gautier is a French cinematographer renowned for his visually distinctive work on acclaimed international films and collaborations with prominent auteurs.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a254f881908d9494d4602064ae completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:18 a.m.