Triple

T7840298
Position Surface form Disambiguated ID Type / Status
Subject USS Guerriere E181787 entity
Predicate notableCommander P1197 FINISHED
Object Jacob Jones E696139 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: Jacob Jones | Statement: [USS Guerriere, notableCommander, Jacob Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob Jones
Context triple: [USS Guerriere, notableCommander, Jacob Jones]
  • A. Jacob Jones chosen
    Jacob Jones was a United States Navy officer and War of 1812 hero noted for his successful command of American warships in combat against the British.
  • B. Ralph Jones
    Ralph Jones is the bumbling American lounge singer who unexpectedly becomes the King of England in the comedy film "King Ralph."
  • C. Ralph Jones
    Ralph Jones was an American drummer best known for playing with the pioneering rock and roll band Bill Haley & His Comets during the 1950s.
  • D. Junior Jones
    Junior Jones is an American former professional boxer and two-weight world champion best known for his technical skill and notable victories in the 1990s.
  • E. Jefferson Smith
    Jefferson Smith is the idealistic, naive young senator in the classic film "Mr. Smith Goes to Washington," known for his integrity and famous filibuster against political corruption.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf0394348190b5928ffb9e3df45e completed March 31, 2026, 2:49 p.m.
Created at: March 30, 2026, 4:47 p.m.