Triple

T31186305
Position Surface form Disambiguated ID Type / Status
Subject Curtis Cup E795052 entity
Predicate namedAfter P63 FINISHED
Object Margaret Curtis E887077 NE FINISHED

How this triple was built (1 step)

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: Margaret Curtis | Statement: [Curtis Cup, namedAfter, Margaret Curtis]

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_69f224d675d08190957198068e440422 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69911d7408190a10a358161cb2ef9 completed May 3, 2026, 12:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34da98b93c8190b0ae96d3cb8ea882 completed June 19, 2026, 5:58 a.m.
Created at: April 29, 2026, 9:08 p.m.