Triple

T14714646
Position Surface form Disambiguated ID Type / Status
Subject Pamela Ribon E345644 entity
Predicate wrote P2831 FINISHED
Object Moana E68779 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: Moana | Statement: [Pamela Ribon, wrote, Moana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moana
Context triple: [Pamela Ribon, wrote, Moana]
  • A. Moana chosen
    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.
  • B. Moana 2
    Moana 2 is the animated musical sequel to Disney's 2016 film Moana, continuing the Polynesian heroine's oceanic adventures.
  • C. Moana Pasifika
    Moana Pasifika is a professional Super Rugby team representing Pacific Island rugby talent, based in Auckland, New Zealand.
  • D. Moana universe
    The Moana universe is the fictional Polynesian-inspired world introduced in Disney's animated film "Moana," featuring oceanic exploration, mythology, and the adventures of the wayfinder Moana and the demigod Maui.
  • E. 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.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec12de8819097cd83530e54f54b completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 1:29 a.m.