Triple

T6920419
Position Surface form Disambiguated ID Type / Status
Subject Love, Loss, and What We Ate E160168 entity
Predicate publisher P29 FINISHED
Object Ecco E331280 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: Ecco | Statement: [Love, Loss, and What We Ate, publisher, Ecco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ecco
Context triple: [Love, Loss, and What We Ate, publisher, Ecco]
  • A. Ecco chosen
    Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
  • B. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. Essa
    Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • E. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fa452c8190b2bea2d47309c889 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751345edc8190ab0f34120a42571e completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.