Triple

T14610423
Position Surface form Disambiguated ID Type / Status
Subject The Last Seduction E342943 entity
Predicate screenplayBy P15305 FINISHED
Object Steve Barancik E1121735 NE FINISHED

How this triple was built (2 steps)

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: Steve Barancik | Statement: [The Last Seduction, screenplayBy, Steve Barancik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Barancik
Context triple: [The Last Seduction, screenplayBy, Steve Barancik]
  • A. Steve Barancik chosen
    Steve Barancik is an American screenwriter best known for penning the neo-noir thriller film "The Last Seduction."
  • B. Jeff Jagodzinski
    Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
  • C. David Burtka
    David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
  • D. Matt Kolodzik
    Matt Kolodzik is an American wrestler best known as a multiple-time All-American standout for Princeton University's wrestling program.
  • E. Brad Goreski
    Brad Goreski is a Canadian-American celebrity fashion stylist and television personality known for his sharp red-carpet commentary and appearances on style-focused TV shows.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44f0dd48190a78662b5998a6722 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64ea085c8190b308504fa11c731d completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:25 a.m.