Triple

T23558688
Position Surface form Disambiguated ID Type / Status
Subject Zora Banks E579161 entity
Predicate relationshipWith P10260 FINISHED
Object Franklin Swift 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: Franklin Swift | Statement: [Zora Banks, relationshipWith, Franklin Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin Swift
Context triple: [Zora Banks, relationshipWith, Franklin Swift]
  • A. Franklin Swift chosen
    Franklin Swift is the flawed yet charismatic male protagonist of Terry McMillan’s novel *Disappearing Acts*, whose struggles with love, responsibility, and personal ambition drive the story’s central relationship drama.
  • B. Lewis Swift
    Lewis Swift was a 19th-century American astronomer known for his discovery of numerous comets and deep-sky objects.
  • C. 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.
  • D. Franklin Rood
    Franklin Rood is the sadistic serial killer antagonist at the center of the 2012 horror film "Shiver."
  • E. George Bell Swift
    George Bell Swift was an American politician who served as mayor of Chicago in the late 19th century.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af6663e0819081d654da38cf3aa9 completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:12 p.m.