Triple

T20108839
Position Surface form Disambiguated ID Type / Status
Subject Sir Reg Goodwin E490271 entity
Predicate title P38 FINISHED
Object Sir Reg Goodwin NE NERFINISHED

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: Sir Reg Goodwin | Statement: [Sir Reg Goodwin, title, Sir Reg Goodwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Reg Goodwin
Context triple: [Sir Reg Goodwin, title, Sir Reg Goodwin]
  • A. Sir Reg Goodwin chosen
    Sir Reg Goodwin was a British Labour politician who served as Leader of the Greater London Council in the early 1970s, overseeing key aspects of London's regional governance and development.
  • B. Stephen Lord
    Stephen Lord is a British actor known for his roles in television dramas such as "EastEnders" and "Shameless."
  • C. Jerry Goodwin
    Jerry Goodwin is the individual for whom Goodwin Field, a baseball stadium, is named, indicating his significant contribution or connection to the facility or its associated program.
  • D. Roger Goodman
    Roger Goodman is a television director and producer best known for directing major live broadcasts and award shows, including the Academy Awards.
  • E. Edward Heyman
    Edward Heyman was an American lyricist best known for writing enduring popular standards during the Great American Songbook era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666df1b148190a28ead2f7cce7aab completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.