Triple

T13609544
Position Surface form Disambiguated ID Type / Status
Subject Sam Richardson E325152 entity
Predicate notableWork P4 FINISHED
Object Central Park E171665 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: Central Park | Statement: [Sam Richardson, notableWork, Central Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Park
Context triple: [Sam Richardson, notableWork, Central Park]
  • A. Central Park
    Central Park is a large circular public park at the heart of Connaught Place in New Delhi, known for its open green space, amphitheater, and role as a popular recreational and cultural hub.
  • B. Central Park
    Central Park is a major public park in Grand Prairie, Texas, featuring recreational facilities, green spaces, and community amenities.
  • C. Central Park
    Central Park is a football stadium in Cowdenbeath, Scotland, best known as the long-time home ground of Cowdenbeath F.C.
  • D. Central Park chosen
    Central Park is an animated musical comedy television series that follows the quirky Tillerman family as they protect and manage New York City's iconic Central Park.
  • E. Central Park
    Central Park is an elevated rapid transit station on the Chicago Transit Authority's Pink Line serving the North Lawndale neighborhood on Chicago's West Side.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78adaf62c8190855df932eb9830be completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.