Triple

T5321596
Position Surface form Disambiguated ID Type / Status
Subject Bad Little Angel E121685 entity
Predicate starring P1507 FINISHED
Object Ian Hunter E125718 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: Ian Hunter | Statement: [Bad Little Angel, starring, Ian Hunter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Hunter
Context triple: [Bad Little Angel, starring, Ian Hunter]
  • A. Ian Hunter chosen
    Ian Hunter was a British actor known for his prolific film and stage career in the early to mid-20th century, often appearing in Hollywood productions.
  • B. Mark Hunter
    Mark Hunter is the rebellious, pirate-radio–hosting teenager who challenges authority and inspires his peers in the 1990 cult film "Pump Up the Volume."
  • C. Bryan Ferry
    Bryan Ferry is an English singer, songwriter, and former Roxy Music frontman known for his suave vocal style and influential role in art rock and glam rock.
  • D. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • E. Bernie Marsden
    Bernie Marsden is an English rock and blues guitarist and songwriter best known as a founding member of Whitesnake and co-writer of several of the band’s biggest hits.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85761ec48190879210af116ed8b9 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a4dff48190bce18f0106c7a8e7 completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 1:59 p.m.