Triple

T9741509
Position Surface form Disambiguated ID Type / Status
Subject The Wedding Ringer E236195 entity
Predicate mainCharacter P1183 FINISHED
Object Doug Harris
Doug Harris is the socially awkward groom-to-be who hires a professional best man service to help him navigate his wedding in the comedy film "The Wedding Ringer."
E818835 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: Doug Harris | Statement: [The Wedding Ringer, mainCharacter, Doug Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Harris
Context triple: [The Wedding Ringer, mainCharacter, Doug Harris]
  • A. Keith Harris
    Keith Harris is an American record producer, songwriter, and multi-instrumentalist best known for his work with major pop and R&B artists such as the Black Eyed Peas.
  • B. Keith Harris
    Keith Harris is a writer known for his contributions to the music and entertainment publication OMG.
  • C. Andy Harries
    Andy Harries is a British television producer best known as the co-founder of Left Bank Pictures and for producing acclaimed dramas such as The Crown.
  • D. Jeff Harris
    Jeff Harris was an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
  • E. Brad Harris
    Brad Harris was an American actor and stuntman best known for his roles in European action and adventure films of the 1960s and 1970s.
  • 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: Doug Harris
Triple: [The Wedding Ringer, mainCharacter, Doug Harris]
Generated description
Doug Harris is the socially awkward groom-to-be who hires a professional best man service to help him navigate his wedding in the comedy film "The Wedding Ringer."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doug Harris
Target entity description: Doug Harris is the socially awkward groom-to-be who hires a professional best man service to help him navigate his wedding in the comedy film "The Wedding Ringer."
  • A. Keith Harris
    Keith Harris is an American record producer, songwriter, and multi-instrumentalist best known for his work with major pop and R&B artists such as the Black Eyed Peas.
  • B. Keith Harris
    Keith Harris is a writer known for his contributions to the music and entertainment publication OMG.
  • C. Andy Harries
    Andy Harries is a British television producer best known as the co-founder of Left Bank Pictures and for producing acclaimed dramas such as The Crown.
  • D. Jeff Harris
    Jeff Harris was an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
  • E. Brad Harris
    Brad Harris was an American actor and stuntman best known for his roles in European action and adventure films of the 1960s and 1970s.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2af3e48190b83a442cd0e84062 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aff2339c8190b164b13b54a40cec completed April 5, 2026, 12:42 a.m.
NEDg Description generation batch_69d1b08ba1f48190830852f9d60e3368 completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b124659481909e7a2ecaf01d8a50 completed April 5, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:23 p.m.