Triple

T14329542
Position Surface form Disambiguated ID Type / Status
Subject The Thirteenth Floor E355307 entity
Predicate starring P1507 FINISHED
Object Craig Bierko E71819 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: Craig Bierko | Statement: [The Thirteenth Floor, starring, Craig Bierko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Bierko
Context triple: [The Thirteenth Floor, starring, Craig Bierko]
  • A. Craig Bierko chosen
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • B. Justin Raisen
    Justin Raisen is an American record producer and songwriter known for his work with a wide range of indie, pop, and alternative artists.
  • C. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • D. Louis Mellis
    Louis Mellis is a British screenwriter best known for co-writing the acclaimed crime film "Sexy Beast."
  • E. Matthew York
    Matthew York is the son of American actor Dick York, best known for his role as the original Darrin Stephens on the television series "Bewitched."
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c3d20688190973e37ca38b4afe0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:13 a.m.