Triple

T10771194
Position Surface form Disambiguated ID Type / Status
Subject Michael Seitzman E254082 entity
Predicate notableWork P4 FINISHED
Object Code Black E402538 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: Code Black | Statement: [Michael Seitzman, notableWork, Code Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Code Black
Context triple: [Michael Seitzman, notableWork, Code Black]
  • A. Code Black chosen
    Code Black is an American medical drama television series set in an overcrowded, high-intensity emergency room, inspired by a documentary of the same name.
  • B. Homicide Squad
    The Homicide Squad is a specialized New York City Police Department unit dedicated to investigating and solving murder cases.
  • C. Gangster Squad
    Gangster Squad is a 2013 crime action film set in 1940s–50s Los Angeles, following an elite police unit’s violent battle against mobster Mickey Cohen.
  • D. Hitman’s Wife’s Bodyguard
    Hitman’s Wife’s Bodyguard is a 2021 action-comedy film and sequel to The Hitman’s Bodyguard, featuring Salma Hayek alongside Ryan Reynolds and Samuel L. Jackson in a violent, fast-paced, and comedic adventure.
  • E. The Raid
    The Raid is a harrowing, large-scale Tatar invasion sequence in Andrei Tarkovsky’s film "Andrei Rublev," depicting the brutal sacking of a medieval Russian city.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732314bcc8190980c6f698f64ccf5 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.