Triple

T14216686
Position Surface form Disambiguated ID Type / Status
Subject Ceallach Spellman E352369 entity
Predicate notableWork P4 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: [Ceallach Spellman, notableWork, Banana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banana
Context triple: [Ceallach Spellman, notableWork, 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 song featured on the album *Te Lo Dije* by the Puerto Rican reggaeton artist Ozuna.
  • D. 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.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0cb3f88190813542f95ee360bf completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:06 a.m.