Triple

T20995836
Position Surface form Disambiguated ID Type / Status
Subject Dallow E517145 entity
Predicate associatedWith P37 FINISHED
Object Pinkie Brown NE NERFINISHED

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: Pinkie Brown | Statement: [Dallow, associatedWith, Pinkie Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinkie Brown
Context triple: [Dallow, associatedWith, Pinkie Brown]
  • A. Pinkie Brown chosen
    Pinkie Brown is the ruthless teenage gangster protagonist of Graham Greene's novel "Brighton Rock," known for his violent criminality and religious torment.
  • B. Pinkie Pie
    Pinkie Pie is an energetic, fun-loving pink pony from the My Little Pony franchise known for her parties, randomness, and cheerful personality.
  • C. Pinky
    Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
  • D. Pinky
    Pinky is one of the primary ghost antagonists in the Pac-Man video game series, known for its pink color and ambush-style movement pattern.
  • E. Pinky
    Pinky is a comedic character appearing in the Marx Brothers film "Horse Feathers."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1fd5d48190a56981cee95ebd69 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.