Triple

T10076598
Position Surface form Disambiguated ID Type / Status
Subject Dr. Stanley Goodspeed E213778 entity
Predicate givenName P17 FINISHED
Object Stanley E123677 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: Stanley | Statement: [Dr. Stanley Goodspeed, givenName, Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley
Context triple: [Dr. Stanley Goodspeed, givenName, Stanley]
  • A. Stanley
    Stanley is a British noble family name historically associated with influential aristocrats, including Lord Stanley of Preston, who served as Governor General of Canada.
  • B. Stanley
    Stanley is the small, windswept port town that serves as the political and economic center of the Falkland Islands in the South Atlantic Ocean.
  • C. Stanley
    Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
  • D. Stanley chosen
    Stanley is a masculine given name of Old English origin that has been borne by numerous notable figures, including British statesman Stanley Baldwin.
  • E. Stanley
    Stanley is a coastal town on the southern side of Hong Kong Island known for its market, beaches, and popular tourist promenade.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 8:59 p.m.