Triple

T5128110
Position Surface form Disambiguated ID Type / Status
Subject Imogen Stubbs E115630 entity
Predicate notableWork P4 FINISHED
Object The Witcher (2002 TV film) E397759 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: The Witcher (2002 TV film) | Statement: [Imogen Stubbs, notableWork, The Witcher (2002 TV film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Witcher (2002 TV film)
Context triple: [Imogen Stubbs, notableWork, The Witcher (2002 TV film)]
  • A. The Witcher chosen
    The Witcher is a dark fantasy franchise, best known as a series of books, video games, and a Netflix television show, that follows monster hunter Geralt of Rivia in a morally complex, medieval-inspired world.
  • B. Company of Wolves
    Company of Wolves is a film production company known for its involvement in British cinema projects such as the 2002 adaptation of "Nicholas Nickleby."
  • C. Dragonslayer
    Dragonslayer is a 1981 dark fantasy film renowned for its groundbreaking dragon visual effects and creature design.
  • D. Grimm
    Grimm is a dark fantasy police procedural television series that blends crime-solving with folklore-inspired supernatural elements.
  • E. The Witch
    The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd782428a081909583c7f368226daf completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4beb7b48190a2f4e41a13fdd5f3 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:42 p.m.