Triple

T15176501
Position Surface form Disambiguated ID Type / Status
Subject Syrena E362622 entity
Predicate helps P1853 FINISHED
Object Philip Swift E816503 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: Philip Swift | Statement: [Syrena, helps, Philip Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Swift
Context triple: [Syrena, helps, Philip Swift]
  • A. Philip Swift chosen
    Philip Swift is a devout young missionary who becomes entangled in the search for the Fountain of Youth in the film "Pirates of the Caribbean: On Stranger Tides."
  • B. Frank Swift
    Frank Swift was an English professional football goalkeeper best known for his long and successful career with Manchester City and for representing England before his death in the 1958 Munich air disaster.
  • C. Albert Narracott
    Albert Narracott is the young English farm boy whose deep bond with his horse Joey drives the emotional core of Michael Morpurgo’s World War I novel "War Horse."
  • D. Allan Swift
    Allan Swift was an American voice actor and radio personality known for his work in animated television specials and commercials.
  • E. David Swift
    David Swift was a British actor and writer best known for his role as the irascible newsreader Henry Davenport in the television sitcom "Drop the Dead Donkey."
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef66b4f08190a072332123253166 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:09 a.m.