Triple

T9464464
Position Surface form Disambiguated ID Type / Status
Subject Craig Mazin E228234 entity
Predicate name P16 FINISHED
Object Craig Mazin E228234 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 Mazin | Statement: [Craig Mazin, name, Craig Mazin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Mazin
Context triple: [Craig Mazin, name, Craig Mazin]
  • A. Craig Mazin chosen
    Craig Mazin is an American screenwriter and producer best known for his work on hit comedies like the Hangover sequels and the acclaimed HBO miniseries Chernobyl.
  • B. Sam Glass
    Sam Glass is a person notable enough to be recognized as a bearer of the surname Glass, though specific widely known achievements or roles are not clearly established.
  • C. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • D. Bryan Fuller
    Bryan Fuller is an American television writer and producer best known for creating visually distinctive, darkly comedic series such as Hannibal, Pushing Daisies, and Dead Like Me.
  • E. Sam Esmail
    Sam Esmail is an American screenwriter, director, and producer best known as the creator of the television series "Mr. Robot" and for his work on various high-profile film and TV projects.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcec2d88190b93b6e4d881c85c6 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122b1440c81909de61d4e72eb93f4 completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:53 p.m.