Triple

T6101616
Position Surface form Disambiguated ID Type / Status
Subject Park Overall E136010 entity
Predicate givenName P17 FINISHED
Object Park E136010 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: Park | Statement: [Park Overall, givenName, Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Park
Context triple: [Park Overall, givenName, Park]
  • A. Home Park
    Home Park is a historic royal deer park and landscaped estate surrounding Windsor Castle in Berkshire, England.
  • B. Regions Park
    Regions Park is a multi-purpose baseball stadium in Hoover, Alabama, best known as the longtime home of the SEC Baseball Tournament and former home of the Birmingham Barons.
  • C. Park Overall chosen
    Park Overall is an American actress best known for her sharp-tongued, comedic supporting roles in film and television, particularly in 1990s sitcoms.
  • D. Parks
    Parks is a common English-language surname borne by numerous notable individuals across fields such as politics, civil rights, sports, and the arts.
  • E. Park Neb
    Park Neb is a small island located on Derwentwater, a lake in England’s Lake District.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3c073c81908248c799934d6fce completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1254fbbf881908b7a3d07f0400387 completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.