Triple

T2916779
Position Surface form Disambiguated ID Type / Status
Subject Daddy's Home 2 E78625 entity
Predicate producer P490 FINISHED
Object John Morris
John Morris is a film producer best known for his work on mainstream Hollywood comedies, including the family sequel "Daddy's Home 2."
E310033 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: John Morris | Statement: [Daddy's Home 2, producer, John Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Morris
Context triple: [Daddy's Home 2, producer, John Morris]
  • A. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • B. Jim Morris
    Jim Morris is an American film producer and executive best known for his work at Pixar Animation Studios, including producing the acclaimed animated film WALL-E.
  • C. Craig Wood
    Craig Wood is a film editor best known for his work on major Hollywood blockbusters, including entries in the Pirates of the Caribbean franchise.
  • D. Glen Schofield
    Glen Schofield is a video game developer and executive best known as the co-creator of the Dead Space series and a leader on major AAA action titles.
  • E. Ken Norris
    Ken Norris was a pioneering marine mammalogist and educator best known for his influential work in dolphin research and marine park development.
  • 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: John Morris
Triple: [Daddy's Home 2, producer, John Morris]
Generated description
John Morris is a film producer best known for his work on mainstream Hollywood comedies, including the family sequel "Daddy's Home 2."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Morris
Target entity description: John Morris is a film producer best known for his work on mainstream Hollywood comedies, including the family sequel "Daddy's Home 2."
  • A. John Morris
    John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
  • B. Jim Morris
    Jim Morris is an American film producer and executive best known for his work at Pixar Animation Studios, including producing the acclaimed animated film WALL-E.
  • C. Craig Wood
    Craig Wood is a film editor best known for his work on major Hollywood blockbusters, including entries in the Pirates of the Caribbean franchise.
  • D. Glen Schofield
    Glen Schofield is a video game developer and executive best known as the co-creator of the Dead Space series and a leader on major AAA action titles.
  • E. Ken Norris
    Ken Norris was a pioneering marine mammalogist and educator best known for his influential work in dolphin research and marine park development.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a2bdd88190aa01c26a27f9afbd completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562847488190a0d6b7de99796cd9 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b06309895881908e9fdd9fa31aed03 completed March 10, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b06371e5fc8190a9945d9ac005365a completed March 10, 2026, 6:31 p.m.
Created at: March 8, 2026, 2:53 p.m.