Triple

T9839747
Position Surface form Disambiguated ID Type / Status
Subject Scary Movie 2 E239190 entity
Predicate writer P1360 FINISHED
Object Michael Anthony Snowden E237352 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: Michael Anthony Snowden | Statement: [Scary Movie 2, writer, Michael Anthony Snowden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Anthony Snowden
Context triple: [Scary Movie 2, writer, Michael Anthony Snowden]
  • A. Michael Anthony Snowden chosen
    Michael Anthony Snowden is an American screenwriter best known for co-writing the comedy film "White Chicks."
  • B. Michael Marino
    Michael Marino is one of the sons of Pro Football Hall of Fame quarterback Dan Marino.
  • C. Kevin Hector
    Kevin Hector is a former English footballer best known as a prolific forward for Derby County during their successful era in the late 1960s and 1970s.
  • D. Michael O'Neal
    Michael O'Neal is the charming sportswriter and longtime friend whose impending marriage drives the central romantic conflict in the film "My Best Friend's Wedding."
  • E. Bryan Mills
    Bryan Mills is the highly skilled former CIA operative and fiercely protective father portrayed by Liam Neeson in the Taken film series.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34b045481908f89abd576aab497 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d5484c8190a78ccd0e9816ba51 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:33 p.m.