Triple

T14301040
Position Surface form Disambiguated ID Type / Status
Subject The Eternity Trap E354561 entity
Predicate hasMainCastMember P7010 FINISHED
Object Tommy Knight E625305 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: Tommy Knight | Statement: [The Eternity Trap, hasMainCastMember, Tommy Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Knight
Context triple: [The Eternity Trap, hasMainCastMember, Tommy Knight]
  • A. Tommy Knight chosen
    Tommy Knight is a British actor best known for playing Luke Smith in the Doctor Who spin-off series "The Sarah Jane Adventures."
  • B. Tommy Beresford
    Tommy Beresford is a fictional amateur detective and adventurer who, alongside his wife Tuppence, stars in several of Agatha Christie's mystery novels and short stories.
  • C. Tommy Jarvis
    Tommy Jarvis is a recurring protagonist in the Friday the 13th horror franchise, best known as the resourceful young boy who confronts and ultimately kills Jason Voorhees.
  • D. Tommy Fleming
    Tommy Fleming is an Irish singer known for his powerful interpretations of traditional and contemporary folk songs and his work as a prominent solo vocalist.
  • E. Tommy Gormley
    Tommy Gormley is a Scottish film assistant director and producer known for his work on major Hollywood productions such as "Star Trek" and "Star Wars: The Force Awakens."
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717e246c819083e67ac2b3b77881 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.