Triple

T35621648
Position Surface form Disambiguated ID Type / Status
Subject Back Street (1961 film) E1029327 entity
Predicate starring P1507 FINISHED
Object Susan Hayward E524744 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: Susan Hayward | Statement: [Back Street (1961 film), starring, Susan Hayward]

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_69f76e0709408190bbe322bf1707ef6b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ef1914c8190a293c37fef343a6d completed May 3, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ea6d76ec81909cbedb6c10cfd3cc completed June 29, 2026, 3:45 a.m.
Created at: May 3, 2026, 4:05 p.m.