Triple

T2151882
Position Surface form Disambiguated ID Type / Status
Subject Toy Story 4 E47798 entity
Predicate storyBy P1955 FINISHED
Object Martin Hynes
Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
E238795 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: Martin Hynes | Statement: [Toy Story 4, storyBy, Martin Hynes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Hynes
Context triple: [Toy Story 4, storyBy, Martin Hynes]
  • A. Deval Patrick
    Deval Patrick is an American politician, lawyer, and former two-term Democratic governor of Massachusetts who was the state's first African American governor.
  • B. Maura Healey
    Maura Healey is an American politician and attorney who became the first woman and first openly lesbian governor of Massachusetts.
  • C. Nancy Hayes Sununu
    Nancy Hayes Sununu is the wife of former New Hampshire governor and White House Chief of Staff John H. Sununu and the matriarch of the prominent Sununu political family.
  • D. Tom Keene
    Tom Keene was an American actor best known for his roles in Western films during the 1930s and 1940s.
  • E. Richard J. Codey
    Richard J. Codey is a longtime New Jersey politician who served as the state's governor and Senate president.
  • 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: Martin Hynes
Triple: [Toy Story 4, storyBy, Martin Hynes]
Generated description
Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin Hynes
Target entity description: Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
  • A. Deval Patrick
    Deval Patrick is an American politician, lawyer, and former two-term Democratic governor of Massachusetts who was the state's first African American governor.
  • B. Maura Healey
    Maura Healey is an American politician and attorney who became the first woman and first openly lesbian governor of Massachusetts.
  • C. Nancy Hayes Sununu
    Nancy Hayes Sununu is the wife of former New Hampshire governor and White House Chief of Staff John H. Sununu and the matriarch of the prominent Sununu political family.
  • D. Tom Keene
    Tom Keene was an American actor best known for his roles in Western films during the 1930s and 1940s.
  • E. Richard J. Codey
    Richard J. Codey is a longtime New Jersey politician who served as the state's governor and Senate president.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58dedd3c8190a876819616903392 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59cf88688190a1d963855a643cde completed March 9, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a3079b08190ba25a44d4041f687 completed March 9, 2026, 5:27 a.m.
Created at: March 4, 2026, 7:44 p.m.