Triple

T3503485
Position Surface form Disambiguated ID Type / Status
Subject Harry Nilsson E74020 entity
Predicate notableWork P4 FINISHED
Object Coconut E285075 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: Coconut | Statement: [Harry Nilsson, notableWork, Coconut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coconut
Context triple: [Harry Nilsson, notableWork, Coconut]
  • A. Cocos nucifera chosen
    Cocos nucifera is the coconut palm, a tropical monocot tree cultivated worldwide for its fruit, oil, fiber, and other versatile products.
  • B. Mangifera
    Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
  • C. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • D. 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.
  • E. Mango
    Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf0c2b48190b49923137bb9e45d completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373db933881908557d678dcdee382 completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.