Triple

T10201932
Position Surface form Disambiguated ID Type / Status
Subject Pathfinder E238902 entity
Predicate editedBy P1954 FINISHED
Object Jim May
Jim May is an editor known for his work on the role-playing game publication "Pathfinder."
 E847541 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: Jim May | Statement: [Pathfinder, editedBy, Jim May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jim May
Context triple: [Pathfinder, editedBy, Jim May]
  • A. Jim May
    Jim May is a film editor best known for his work on major action movies, including the 2010 adaptation of "The A-Team."
  • B. Peter Brock
    Peter Brock was a legendary Australian touring car driver, best known for his multiple Bathurst 1000 victories and iconic status in Holden motorsport history.
  • C. Paul Wickens
    Paul Wickens is a British keyboardist and musical director best known for his long-standing collaboration with Paul McCartney in both studio recordings and live performances.
  • D. Justin Martin
    Justin Martin is an American actor known for his work as a child and teen performer in film, television, and theater, including roles in projects like the 2008 adaptation of "A Raisin in the Sun."
  • E. David Wickes
    David Wickes is a British film and television director known for his work on crime dramas and period pieces, including notable adaptations of classic detective stories.
  • 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: Jim May
Triple: [Pathfinder, editedBy, Jim May]
Generated description
Jim May is an editor known for his work on the role-playing game publication "Pathfinder."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jim May
Target entity description: Jim May is an editor known for his work on the role-playing game publication "Pathfinder."
  • A. Jim May
    Jim May is a film editor best known for his work on major action movies, including the 2010 adaptation of "The A-Team."
  • B. Peter Brock
    Peter Brock was a legendary Australian touring car driver, best known for his multiple Bathurst 1000 victories and iconic status in Holden motorsport history.
  • C. Paul Wickens
    Paul Wickens is a British keyboardist and musical director best known for his long-standing collaboration with Paul McCartney in both studio recordings and live performances.
  • D. Justin Martin
    Justin Martin is an American actor known for his work as a child and teen performer in film, television, and theater, including roles in projects like the 2008 adaptation of "A Raisin in the Sun."
  • E. David Wickes
    David Wickes is a British film and television director known for his work on crime dramas and period pieces, including notable adaptations of classic detective stories.
  • F. None of above. chosen

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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317fcdf18819092d0f3f216edffdc completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d3191e8e088190a8d6a337443da536 completed April 6, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69d31d4218d08190947ed2bbc7021dd9 completed April 6, 2026, 2:41 a.m.
Created at: March 30, 2026, 9:14 p.m.