Triple

T14657812
Position Surface form Disambiguated ID Type / Status
Subject The 13th Warrior E344154 entity
Predicate producer P490 FINISHED
Object Ned Dowd
Ned Dowd is an American film producer and former actor known for his work on action and adventure films such as "The 13th Warrior."
E1195216 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: Ned Dowd | Statement: [The 13th Warrior, producer, Ned Dowd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ned Dowd
Context triple: [The 13th Warrior, producer, Ned Dowd]
  • A. Joe Dowling
    Joe Dowling is an Irish theatre director best known for his long tenure as artistic director of the Guthrie Theater in Minneapolis.
  • B. Delmar O’Donnell
    Delmar O’Donnell is a naive but good-hearted escaped convict and one of the three central companions in the Coen brothers’ film "O Brother, Where Art Thou?".
  • C. Bob Dwyer
    Bob Dwyer is a renowned Australian rugby union coach best known for leading the Wallabies to victory in the 1991 Rugby World Cup.
  • D. Frank Flannagan
    Frank Flannagan is the charming, womanizing American businessman portrayed by Gary Cooper in Billy Wilder’s romantic comedy film "Love in the Afternoon."
  • E. Bil Dwyer
    Bil Dwyer is an American stand-up comedian and television game show host known for his quick wit and work on various comedy and reality-based programs.
  • 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: Ned Dowd
Triple: [The 13th Warrior, producer, Ned Dowd]
Generated description
Ned Dowd is an American film producer and former actor known for his work on action and adventure films such as "The 13th Warrior."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ned Dowd
Target entity description: Ned Dowd is an American film producer and former actor known for his work on action and adventure films such as "The 13th Warrior."
  • A. Joe Dowling
    Joe Dowling is an Irish theatre director best known for his long tenure as artistic director of the Guthrie Theater in Minneapolis.
  • B. Delmar O’Donnell
    Delmar O’Donnell is a naive but good-hearted escaped convict and one of the three central companions in the Coen brothers’ film "O Brother, Where Art Thou?".
  • C. Bob Dwyer
    Bob Dwyer is a renowned Australian rugby union coach best known for leading the Wallabies to victory in the 1991 Rugby World Cup.
  • D. Frank Flannagan
    Frank Flannagan is the charming, womanizing American businessman portrayed by Gary Cooper in Billy Wilder’s romantic comedy film "Love in the Afternoon."
  • E. Bil Dwyer
    Bil Dwyer is an American stand-up comedian and television game show host known for his quick wit and work on various comedy and reality-based programs.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff28b707481908611ae8e23de3294 completed May 10, 2026, 2:50 a.m.
NEDg Description generation batch_69fff30874d48190906df0cf14fa279d completed May 10, 2026, 2:52 a.m.
NED2 Entity disambiguation (via description) batch_69fff383ce688190ac6c91f89250557c completed May 10, 2026, 2:54 a.m.
Created at: April 10, 2026, 1:27 a.m.