Triple

T4687905
Position Surface form Disambiguated ID Type / Status
Subject The Act E103964 entity
Predicate executiveProducer P7225 FINISHED
Object Nick Antosca E459875 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: Nick Antosca | Statement: [The Act, executiveProducer, Nick Antosca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Antosca
Context triple: [The Act, executiveProducer, Nick Antosca]
  • A. Nick Antosca chosen
    Nick Antosca is an American writer and producer best known for creating and showrunning dark, psychologically driven television series such as the true-crime drama "The Act" and the horror anthology "Channel Zero."
  • B. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • C. Michael Yeargan
    Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
  • D. 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."
  • E. Paul Vogel
    Paul Vogel was an American cinematographer best known for his work on classic Hollywood films, including the Oscar-winning "Battleground."
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6397f6888190a9024a51d4d34f2b completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be105a709c819083504fe1dc1612d8 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:16 p.m.