Triple

T30003201
Position Surface form Disambiguated ID Type / Status
Subject Everybody Wins E762228 entity
Predicate screenwriter P2831 FINISHED
Object Arthur Miller E3912 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: Arthur Miller | Statement: [Everybody Wins, screenwriter, Arthur Miller]

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_69f2246a47ac81909cf5213053687ffc completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6794fa4008190bd8861c7934bf8fe completed May 2, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274c947e44819098a42eec73f7c60d completed June 8, 2026, 11:13 p.m.
Created at: April 29, 2026, 6:42 p.m.