Triple

T18782839
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Collins E459302 entity
Predicate familyName P18 FINISHED
Object Collins NE NERFINISHED

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: [Suzanne Collins, familyName, Collins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collins
Context triple: [Suzanne Collins, familyName, 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 chosen
    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
    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 (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5977d7c5c8190ab2aadb47283965d completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.