Triple

T1671089
Position Surface form Disambiguated ID Type / Status
Subject Abdul Salaam E36125 entity
Predicate teammate P2649 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: [Abdul Salaam, teammate, Mark Gastineau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Gastineau
Context triple: [Abdul Salaam, teammate, 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. Michael Fortier
    Michael Fortier is an American former associate of Timothy McVeigh who became known for his involvement in and testimony about the 1995 Oklahoma City bombing.
  • C. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • D. Jean Raoux
    Jean Raoux was a French painter of the late 17th and early 18th centuries, known for his elegant genre scenes and portraits that bridged the Baroque and Rococo styles.
  • E. Dan Bouchard
    Dan Bouchard is a former Canadian professional ice hockey goaltender best known for his NHL career with teams such as the Atlanta Flames and Quebec Nordiques.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62439e48819084e46b2719cdac58 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1afd1ac8190862ca355eec09e4a completed March 8, 2026, 7:44 p.m.
Created at: March 4, 2026, 7:29 p.m.