Triple

T575775
Position Surface form Disambiguated ID Type / Status
Subject Blink E13758 entity
Predicate partOf P40 FINISHED
Object Brave E46401 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: Brave | Statement: [Blink, partOf, Brave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brave
Context triple: [Blink, partOf, Brave]
  • A. Brave chosen
    Brave is a 2012 Pixar animated fantasy film that follows a Scottish princess, Merida, who defies tradition and inadvertently unleashes a curse she must undo to save her family.
  • B. Coco
    Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
  • C. Mulan
    Mulan is a 1998 animated Disney film that follows a young Chinese woman who disguises herself as a man to take her father's place in the army and save her country.
  • D. Moana
    Moana is a 2016 Disney animated adventure film that follows a Polynesian girl chosen by the ocean who sets sail to restore a mystical relic and save her island.
  • E. Tangled
    Tangled is a 2010 Disney animated musical fantasy film that reimagines the Rapunzel fairy tale with a blend of comedy, adventure, and computer-generated animation.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ff4db0248190b2b3ca0290467313 completed March 2, 2026, 3:09 a.m.
Created at: March 1, 2026, 7:33 p.m.