Triple

T5913036
Position Surface form Disambiguated ID Type / Status
Subject Bambi Award E131509 entity
Predicate namedAfter P63 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: [Bambi Award, namedAfter, Bambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bambi
Context triple: [Bambi Award, namedAfter, 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 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.
  • C. 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.
  • D. 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.
  • E. Babe
    "Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037b85c7481908bc9da9d38e02d2b completed March 22, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e397f2748190acf2d629ee57a466 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 3:59 p.m.