Triple

T102211
Position Surface form Disambiguated ID Type / Status
Subject Fenway Sports Group E2062 entity
Predicate chairman P377 FINISHED
Object Tom Werner E27709 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: Tom Werner | Statement: [Fenway Sports Group, chairman, Tom Werner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Werner
Context triple: [Fenway Sports Group, chairman, Tom Werner]
  • A. Tom Werner chosen
    Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
  • B. Hartland Snyder
    Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
  • C. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • D. Ted Kulongoski
    Ted Kulongoski is an American Democratic politician and attorney who served as the 36th governor of Oregon from 2003 to 2011.
  • E. Mark D. Bailey
    Mark D. Bailey is an American diplomat who has served as the United States Ambassador to Hungary.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256a8b6d0819083838a9708759407 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34761406481908807a9849b747e42 completed Feb. 28, 2026, 7:52 p.m.
Created at: Feb. 28, 2026, 2:12 a.m.