Triple

T15047880
Position Surface form Disambiguated ID Type / Status
Subject Freddie Baxter E379277 entity
Predicate appearsIn P795 FINISHED
Object Banana E71124 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: Banana | Statement: [Freddie Baxter, appearsIn, Banana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banana
Context triple: [Freddie Baxter, appearsIn, Banana]
  • A. Banana chosen
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • B. Banana
    "Banana" is a comedic animated short film set in the Despicable Me universe, featuring the Minions in a slapstick adventure centered around their obsession with bananas.
  • C. Banana
    Banana is a port town in the Democratic Republic of the Congo situated on the Atlantic coast at the mouth of the Congo River.
  • D. Banana
    "Banana" is a song featured on the album *Te Lo Dije* by the Puerto Rican reggaeton artist Ozuna.
  • E. Bananas
    Bananas is a 1971 satirical comedy film directed by and starring Woody Allen, known for its absurd political humor and farcical take on revolution in a fictional Latin American country.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.