Triple

T32005735
Position Surface form Disambiguated ID Type / Status
Subject Tony Gates E817261 entity
Predicate portrayedBy P1507 FINISHED
Object Lennie James E235391 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: Lennie James | Statement: [Tony Gates, portrayedBy, Lennie James]

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_69f348f8ce388190ae84376b1f348f12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b40069088190b352c80db1417268 completed May 3, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46b5f7988190ab8d025b24852e74 completed June 15, 2026, 12:26 a.m.
Created at: May 1, 2026, 12:15 a.m.