Triple

T9619785
Position Surface form Disambiguated ID Type / Status
Subject Flamingo E232311 entity
Predicate partOf P40 FINISHED
Object HarperCollins UK E65842 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: HarperCollins UK | Statement: [Flamingo, partOf, HarperCollins UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HarperCollins UK
Context triple: [Flamingo, partOf, HarperCollins UK]
  • A. HarperCollins chosen
    HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
  • B. Harper Perennial
    Harper Perennial is an imprint of HarperCollins known for publishing contemporary literary fiction, nonfiction, and reissues of classic works in affordable paperback editions.
  • C. Hachette UK
    Hachette UK is a major British publishing group and one of the largest book publishers in the United Kingdom, encompassing numerous well-known imprints across a wide range of genres.
  • D. Hodder & Stoughton
    Hodder & Stoughton is a major British publishing house known for producing a wide range of fiction, non-fiction, and religious titles.
  • E. The Harvill Press
    The Harvill Press is a British publishing house known for its high-quality literary fiction and translated works from around the world.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad295008190a4418d092576cb53 completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1796ced5c8190a3f275e03b481a96 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.