Triple

T21447720
Position Surface form Disambiguated ID Type / Status
Subject Mr. Orange E529120 entity
Predicate conflictsWith P4897 FINISHED
Object Mr. Blonde 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: Mr. Blonde | Statement: [Mr. Orange, conflictsWith, Mr. Blonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Blonde
Context triple: [Mr. Orange, conflictsWith, Mr. Blonde]
  • A. Mr. Blonde chosen
    Mr. Blonde is a sadistic, unpredictable criminal and one of the central gang members in Quentin Tarantino’s film "Reservoir Dogs," notorious for his brutal violence and iconic torture scene.
  • B. The Blonde
    The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
  • C. Mr. Orange
    Mr. Orange is an undercover police officer posing as a criminal in Quentin Tarantino's crime film "Reservoir Dogs."
  • D. Pretty Boy Floyd
    Pretty Boy Floyd is a folk ballad by Woody Guthrie that mythologizes the Depression-era outlaw Charles "Pretty Boy" Floyd as a populist hero who aids the poor and challenges social injustice.
  • E. The Untouchable
    The Untouchable is a crime novel by Mulk Raj Anand that portrays the oppressive caste system in India through the experiences of a young sweeper boy.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d04548819086594c20faa5217d completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.