Triple

T12025201
Position Surface form Disambiguated ID Type / Status
Subject rsync E286257 entity
Predicate developer P73 FINISHED
Object Wayne Davison
Wayne Davison is a software engineer best known as a primary maintainer and core developer of the rsync file synchronization utility.
E959745 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: Wayne Davison | Statement: [rsync, developer, Wayne Davison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne Davison
Context triple: [rsync, developer, Wayne Davison]
  • A. 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.
  • B. Jack Millar
    Jack Millar was an author whose work inspired the creation of the film "The Purple Mask."
  • C. Julian McGrath
    Julian McGrath is the young boy central to the plot of the 1999 comedy film "Big Daddy," where he is informally adopted by Adam Sandler’s character.
  • D. Robin Midgley
    Robin Midgley was a British theatre and television director known for his influential stage work and contributions to contemporary drama.
  • E. Geoff Burton
    Geoff Burton is an Australian cinematographer known for his work on numerous feature films and collaborations with prominent directors.
  • 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: Wayne Davison
Triple: [rsync, developer, Wayne Davison]
Generated description
Wayne Davison is a software engineer best known as a primary maintainer and core developer of the rsync file synchronization utility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wayne Davison
Target entity description: Wayne Davison is a software engineer best known as a primary maintainer and core developer of the rsync file synchronization utility.
  • A. 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.
  • B. Jack Millar
    Jack Millar was an author whose work inspired the creation of the film "The Purple Mask."
  • C. Julian McGrath
    Julian McGrath is the young boy central to the plot of the 1999 comedy film "Big Daddy," where he is informally adopted by Adam Sandler’s character.
  • D. Robin Midgley
    Robin Midgley was a British theatre and television director known for his influential stage work and contributions to contemporary drama.
  • E. Geoff Burton
    Geoff Burton is an Australian cinematographer known for his work on numerous feature films and collaborations with prominent directors.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b71e5c48190a58ace8ef7c8928d completed May 1, 2026, 11:16 a.m.
NEDg Description generation batch_69f48fc7a8848190a06b34cc45db4789 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495f069c48190a6e5856c272420c0 completed May 1, 2026, noon
Created at: April 8, 2026, 9:47 p.m.