Triple

T7577512
Position Surface form Disambiguated ID Type / Status
Subject Disney animated features E179395 entity
Predicate notableWork P4 FINISHED
Object Bambi E60283 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: Bambi | Statement: [Disney animated features, notableWork, Bambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bambi
Context triple: [Disney animated features, notableWork, Bambi]
  • A. Bambi chosen
    Bambi is a classic 1942 animated film produced by Walt Disney that follows the life and coming-of-age of a young deer in the forest.
  • B. Bambi
    Bambi is the Hall of Fame American football wide receiver Lance Alworth, renowned for his speed, agility, and acrobatic pass-catching.
  • C. Bambi II
    Bambi II is a 2006 direct-to-video animated film from Disney that explores Bambi’s childhood and relationship with his father, the Great Prince of the Forest.
  • D. Lady and the Tramp
    Lady and the Tramp is a classic 1955 American animated romantic film produced by Disney, renowned for its love story between two dogs from different social backgrounds and its iconic spaghetti dinner scene.
  • E. Dumbo
    Dumbo is the nickname of the Curtiss C-46 Commando, a World War II-era American military transport aircraft known for its large cargo capacity and service in challenging flying conditions.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f94cdbec81909f2ba7ce04e49931 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861673ae48190b86e8023fd02771c completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:51 p.m.