Triple

T22597113
Position Surface form Disambiguated ID Type / Status
Subject The Letter of Marque E574709 entity
Predicate publisher P29 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: [The Letter of Marque, publisher, Collins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collins
Context triple: [The Letter of Marque, 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 classic family of mixed drinks typically made with a base spirit, lemon juice, sugar, and carbonated water, served long over ice.
  • C. Collins chosen
    Collins is a prominent British publishing brand best known for its dictionaries, atlases, and educational reference works.
  • D. Collins
    Collins is a common English-language surname borne by numerous notable individuals across fields such as politics, sports, literature, and entertainment.
  • E. Collins
    Collins is a small city located in Tattnall County in the southeastern part of the U.S. state of Georgia.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16269a56881909bb5af0258150f93 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.