Triple

T28980345
Position Surface form Disambiguated ID Type / Status
Subject Senior Year E734528 entity
Predicate productionCompany P490 FINISHED
Object Paramount Players E1054549 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: Paramount Players | Statement: [Senior Year, productionCompany, Paramount Players]

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_69f05b0dd9b481908b7901e1c95ff6b2 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65ee362b081909decc8d1aa60ecab completed May 2, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec63ae348190a4f844f0726d9668 completed June 7, 2026, 3:58 a.m.
Created at: April 28, 2026, 9:11 a.m.