Triple

T515238
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2003 E10691 entity
Predicate winningCoach P10030 FINISHED
Object Frank Yallop E60928 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: Frank Yallop | Statement: [MLS Cup 2003, winningCoach, Frank Yallop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Yallop
Context triple: [MLS Cup 2003, winningCoach, Frank Yallop]
  • A. Frank Yallop chosen
    Frank Yallop is a former Canadian international defender and successful soccer coach best known for leading the San Jose Earthquakes to multiple MLS Cup titles.
  • B. Bob Paisley
    Bob Paisley was a legendary English football manager who led Liverpool to unprecedented domestic and European success in the 1970s and early 1980s.
  • C. Lee Dixon
    Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
  • D. Bill Shankly
    Bill Shankly was a legendary Scottish football manager who transformed Liverpool F.C. into a major force in English and European football during the 1960s and early 1970s.
  • E. Marc Seriff
    Marc Seriff is an American computer scientist and entrepreneur best known as a co-founder and early technical leader of the pioneering internet company AOL.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1836b688190a60cc901a8724159 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a14f9cc88190ada7a80d5f8ec6fc completed March 1, 2026, 8:27 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.