Triple

T34348635
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Picture (as producer of Saving Private Ryan) E881504 entity
Predicate associatedAwardForSameFilm P93687 FINISHED
Object Academy Award for Best Cinematography (Saving Private Ryan) E11841 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: Academy Award for Best Cinematography (Saving Private Ryan) | Statement: [Academy Award for Best Picture (as producer of Saving Private Ryan), associatedAwardForSameFilm, Academy Award for Best Cinematography (Saving Private Ryan)]

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_69f349bc55e881908c8e338ef76b0043 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a03809a38c08190b5a19a0c05c25346 completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3704984ee48190ba5f5f757cb61683 completed June 20, 2026, 9:22 p.m.
Created at: May 1, 2026, 1:58 a.m.