Triple

T15031684
Position Surface form Disambiguated ID Type / Status
Subject Paddington Bear E378367 entity
Predicate publisher P29 FINISHED
Object Collins E118101 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: Collins | Statement: [Paddington Bear, publisher, Collins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collins
Context triple: [Paddington Bear, publisher, Collins]
  • A. Collins
    Collins is a major aerospace and defense technology company known for providing advanced avionics and aircraft systems to commercial and military customers worldwide.
  • B. Collins
    Collins is a common English-language surname borne by numerous notable individuals across fields such as politics, sports, literature, and entertainment.
  • C. Collins
    Collins is a small city located in Tattnall County in the southeastern part of the U.S. state of Georgia.
  • D. Collins Gem series
    The Collins Gem series is a popular collection of compact, pocket-sized reference books covering topics such as languages, dictionaries, and general knowledge.
  • E. Collins Educational chosen
    Collins Educational is an imprint of the British publishing house William Collins, Sons, specializing in educational books and learning materials.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9ddb46888190b1d2fe2992fc120b completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:59 a.m.