Triple

T11232198
Position Surface form Disambiguated ID Type / Status
Subject Gordon Parks E265848 entity
Predicate familyName P18 FINISHED
Object Parks E73846 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: Parks | Statement: [Gordon Parks, familyName, Parks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parks
Context triple: [Gordon Parks, familyName, Parks]
  • A. Parks chosen
    Parks is a common English-language surname borne by numerous notable individuals across fields such as politics, civil rights, sports, and the arts.
  • 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
    Park is a common surname of Scottish origin borne by various notable individuals, including figures in early professional golf.
  • D. Metro Parks and Nature
    Metro Parks and Nature is the regional government agency for the Portland, Oregon metropolitan area that manages parks, natural areas, and recreational facilities, including the Oregon Zoo.
  • E. Namba Parks
    Namba Parks is a large multi-level shopping, dining, and entertainment complex in Osaka, Japan, known for its distinctive rooftop garden and canyon-like architectural design.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9026e1c81909456ac946bbba972 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad49b5cc8190b99cb2cd8de72109 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.