Triple

T8640106
Position Surface form Disambiguated ID Type / Status
Subject Hollywoodland E204622 entity
Predicate portrays P264 FINISHED
Object Eddie Mannix E387041 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: Eddie Mannix | Statement: [Hollywoodland, portrays, Eddie Mannix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eddie Mannix
Context triple: [Hollywoodland, portrays, Eddie Mannix]
  • A. Eddie Mannix chosen
    Eddie Mannix is a fictional Hollywood studio fixer in the Coen brothers’ film "Hail, Caesar!", responsible for managing scandals and crises behind the scenes during the Golden Age of cinema.
  • B. Joe Gillis
    Joe Gillis is the struggling screenwriter and cynical narrator at the center of the classic film noir "Sunset Boulevard."
  • C. J. J. Gittes
    J. J. Gittes is the cynical yet principled private investigator portrayed by Jack Nicholson in the classic neo-noir film "Chinatown."
  • D. Jack Crawford
    Jack Crawford is a seasoned FBI agent and head of the Behavioral Science Unit who mentors Clarice Starling in Thomas Harris’s Hannibal Lecter novels and their film adaptations.
  • E. LAPD Sergeant Joe Friday
    LAPD Sergeant Joe Friday is the no-nonsense, methodical detective protagonist of the classic police procedural series "Dragnet," known for his deadpan delivery and focus on factual investigation.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47650a14819094855aa8d062ebbc completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc340528819085c80b69d6d32a34 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:28 p.m.