Triple

T16766294
Position Surface form Disambiguated ID Type / Status
Subject Dragonheart E407471 entity
Predicate hasPrequel P97 FINISHED
Object Dragonheart: Vengeance E1234358 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: Dragonheart: Vengeance | Statement: [Dragonheart, hasPrequel, Dragonheart: Vengeance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dragonheart: Vengeance
Context triple: [Dragonheart, hasPrequel, Dragonheart: Vengeance]
  • A. Dragonheart: Battle for the Heartfire chosen
    Dragonheart: Battle for the Heartfire is a fantasy adventure film in the Dragonheart franchise that follows a new generation of dragon-human heirs vying for a powerful shared dragon heart.
  • B. Dragonheart
    Dragonheart is a 1996 fantasy adventure film renowned for its groundbreaking CGI dragon and the voice performance of Sean Connery.
  • C. Dragonslayer
    Dragonslayer is a 1981 dark fantasy film renowned for its groundbreaking dragon visual effects and creature design.
  • D. Kiss of the Dragon
    Kiss of the Dragon is a 2001 action film starring Jet Li as a Chinese intelligence agent embroiled in a violent conspiracy in Paris.
  • E. Prince of Thieves
    Prince of Thieves is a crime novel by Chuck Hogan that follows a skilled Boston bank robber whose life unravels when he falls for a woman connected to one of his heists.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0330d6081908ce99f14c70b90f2 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb069cf481908e029b26ad96d3b5 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:21 a.m.