Triple

T19454818
Position Surface form Disambiguated ID Type / Status
Subject Hawkins Police Department uniform E486708 entity
Predicate wornByCharacter P14625 FINISHED
Object Powell 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: Powell | Statement: [Hawkins Police Department uniform, wornByCharacter, Powell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Powell
Context triple: [Hawkins Police Department uniform, wornByCharacter, Powell]
  • A. Powell chosen
    Powell is a common English-language surname borne by numerous notable figures in politics, finance, sports, and the arts.
  • B. Powell and Donovan
    Powell and Donovan are a pair of fictional robot technicians featured in Isaac Asimov’s science fiction stories, often involved in troubleshooting complex robotic and ethical dilemmas.
  • C. Vance
    Vance is a central character in the American television sitcom "Perfect Couples," known for his volatile yet comedic romantic relationship dynamics.
  • D. Vance
    Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
  • E. Vance
    Vance is a small town in Alabama, United States, known primarily for hosting the Mercedes-Benz U.S. International manufacturing plant.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c117ac8190a38c01c3191beaea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.