Triple

T10972021
Position Surface form Disambiguated ID Type / Status
Subject Enrique Chediak E259262 entity
Predicate workedOn P3 FINISHED
Object The Crazies E729039 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: The Crazies | Statement: [Enrique Chediak, workedOn, The Crazies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Crazies
Context triple: [Enrique Chediak, workedOn, The Crazies]
  • A. The Crazies chosen
    The Crazies is a 1973 horror film directed by George A. Romero that follows the violent breakdown of a small town after a military bioweapon contaminates the local water supply.
  • B. The Crazy Ones
    The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
  • C. Freaks
    "Freaks" is a high-energy electronic dance track by Australian DJ and producer Timmy Trumpet, widely recognized for its catchy horn melody and popularity in clubs and festivals.
  • D. Freak Street
    Freak Street is a historic neighborhood in Kathmandu, Nepal, famed as a 1960s–70s hippie trail hub lined with budget guesthouses, cafes, and shops.
  • E. Howling Mad
    Howling Mad is the eccentric and wildly unpredictable pilot character from the 1980s television series "The A-Team."
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d790df108190b4a3a6fece372778 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.