Triple

T21875697
Position Surface form Disambiguated ID Type / Status
Subject Tom Wingo E540139 entity
Predicate familyName P18 FINISHED
Object Wingo
Wingo is a surname most notably associated with the fictional character Tom Wingo from Pat Conroy’s novel "The Prince of Tides."
 E540139 NE FINISHED

How this triple was built (4 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: Wingo | Statement: [Tom Wingo, familyName, Wingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wingo
Context triple: [Tom Wingo, familyName, Wingo]
  • A. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • B. Tom Wingo
    Tom Wingo is the troubled Southern football coach and teacher who confronts his painful family history while helping his sister’s psychiatrist uncover the roots of her trauma in *The Prince of Tides*.
  • C. Wally the Pilot
    Wally the Pilot is the costumed aviator mascot who represents the University of Portland’s athletic teams, the Portland Pilots.
  • D. Piper
    Piper is a large genus of flowering plants best known for species like black pepper (Piper nigrum), which is widely used as a spice worldwide.
  • E. Piper
    Piper is a tough, no-nonsense waitress who becomes the fearless ally of Nicolas Cage’s character in the supernatural action film "Drive Angry."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wingo
Triple: [Tom Wingo, familyName, Wingo]
Generated description
Wingo is a surname most notably associated with the fictional character Tom Wingo from Pat Conroy’s novel "The Prince of Tides."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wingo
Target entity description: Wingo is a surname most notably associated with the fictional character Tom Wingo from Pat Conroy’s novel "The Prince of Tides."
  • A. Wingo
    Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
  • B. Tom Wingo chosen
    Tom Wingo is the troubled Southern football coach and teacher who confronts his painful family history while helping his sister’s psychiatrist uncover the roots of her trauma in *The Prince of Tides*.
  • C. Wally the Pilot
    Wally the Pilot is the costumed aviator mascot who represents the University of Portland’s athletic teams, the Portland Pilots.
  • D. Piper
    Piper is a tough, no-nonsense waitress who becomes the fearless ally of Nicolas Cage’s character in the supernatural action film "Drive Angry."
  • E. Piper
    Piper is a large genus of flowering plants best known for species like black pepper (Piper nigrum), which is widely used as a spice worldwide.
  • F. None of above.

Provenance (5 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33957f481908789b054a4fd1b77 completed April 28, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a529f88048190b05490081638ed98 completed May 17, 2026, 11:43 p.m.
NEDg Description generation batch_6a0a535478e08190954996353b52a108 completed May 17, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0a53f05f00819080b8cc39f43f8196 completed May 17, 2026, 11:49 p.m.
Created at: April 16, 2026, 7:02 p.m.