Triple

T19336209
Position Surface form Disambiguated ID Type / Status
Subject The Seduction of Joe Tynan E483629 entity
Predicate plotSummary P264 FINISHED
Object The film follows U.S. Senator Joe Tynan whose political ambition conflicts with his personal life during a controversial Supreme Court nomination fight. LITERAL 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: The film follows U.S. Senator Joe Tynan whose political ambition conflicts with his personal life during a controversial Supreme Court nomination fight. | Statement: [The Seduction of Joe Tynan, plotSummary, The film follows U.S. Senator Joe Tynan whose political ambition conflicts with his personal life during a controversial Supreme Court nomination fight.]

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61645c0dc8190b64e15c735bcb9f4 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.