Triple

T21859959
Position Surface form Disambiguated ID Type / Status
Subject Craig Safan E539733 entity
Predicate name P16 FINISHED
Object Craig Safan NE NERFINISHED

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 Safan | Statement: [Craig Safan, name, Craig Safan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Safan
Context triple: [Craig Safan, name, Craig Safan]
  • A. Craig Safan chosen
    Craig Safan is an American composer best known for his film and television scores, including work on movies like "The Last Starfighter" and the TV series "Cheers."
  • B. Jay Landsman
    Jay Landsman is a Baltimore police sergeant and homicide supervisor best known as a character in the television series "The Wire," inspired by and partly portrayed by the real-life Baltimore detective of the same name.
  • C. Josh Sussman
    Josh Sussman is an American actor best known for his recurring roles on the television series "Glee" and "Wizards of Waverly Place."
  • D. Justin Jampol
    Justin Jampol is an American historian and museum founder best known for establishing the Wende Museum, which focuses on preserving and interpreting Cold War-era art and artifacts.
  • E. Jake Adelstein
    Jake Adelstein is an American journalist and author best known for his memoir "Tokyo Vice," which chronicles his experiences reporting on crime and the yakuza for a major Japanese newspaper.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63a22b88190b59b13e7b4788195 completed April 28, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:56 p.m.