Triple

T9755171
Position Surface form Disambiguated ID Type / Status
Subject Kelly Macdonald as Merida E236535 entity
Predicate characterParent P39073 FINISHED
Object KingFergus E236532 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: KingFergus | Statement: [Kelly Macdonald as Merida, characterParent, KingFergus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KingFergus
Context triple: [Kelly Macdonald as Merida, characterParent, KingFergus]
  • A. King Fergus chosen
    King Fergus is the boisterous, one-legged Scottish king and devoted father from Disney-Pixar's animated film "Brave."
  • B. Fergus
    Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
  • C. Fergus
    Fergus is the conflicted Irish Republican Army volunteer who serves as the central protagonist in the 1992 psychological thriller film "The Crying Game."
  • D. Fergus
    Fergus is a masculine given name of Gaelic origin, traditionally meaning "man of force" or "strong man."
  • E. Fergus
    Fergus is a historic small town in southwestern Ontario, Canada, known for its Scottish heritage and annual Scottish Festival and Highland Games.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb1370c8190bc153db8cababc62 completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40da67c8190b9a0193e9b04fedd completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:24 p.m.