Triple

T9739420
Position Surface form Disambiguated ID Type / Status
Subject Joe Gardner E236147 entity
Predicate hasFather P1908 FINISHED
Object Ray Gardner
Ray Gardner is the supportive, down-to-earth father of protagonist Joe Gardner in Pixar's animated film "Soul."
E828702 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: Ray Gardner | Statement: [Joe Gardner, hasFather, Ray Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Gardner
Context triple: [Joe Gardner, hasFather, Ray Gardner]
  • A. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • B. Roy Gardner
    Roy Gardner was an American economist and game theorist known for his work on strategic behavior, common-pool resources, and the application of game theory to environmental and resource economics.
  • C. Jimmy Gardner
    Jimmy Gardner was an early 20th-century Canadian ice hockey player, coach, and executive who played a key role in organizing professional hockey and shaping the sport’s development in North America.
  • D. Lloyd Hubler
    Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
  • E. Robert Gaskins
    Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
  • 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: Ray Gardner
Triple: [Joe Gardner, hasFather, Ray Gardner]
Generated description
Ray Gardner is the supportive, down-to-earth father of protagonist Joe Gardner in Pixar's animated film "Soul."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ray Gardner
Target entity description: Ray Gardner is the supportive, down-to-earth father of protagonist Joe Gardner in Pixar's animated film "Soul."
  • A. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • B. Roy Gardner
    Roy Gardner was an American economist and game theorist known for his work on strategic behavior, common-pool resources, and the application of game theory to environmental and resource economics.
  • C. Jimmy Gardner
    Jimmy Gardner was an early 20th-century Canadian ice hockey player, coach, and executive who played a key role in organizing professional hockey and shaping the sport’s development in North America.
  • D. Lloyd Hubler
    Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
  • E. Robert Gaskins
    Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef43fec8190987628f401a27436 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d20d048c5081908c891633129dc5d6 completed April 5, 2026, 7:19 a.m.
NEDg Description generation batch_69d20e9f480c819086b0165aa77ddb06 completed April 5, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69d20fa9cab88190bbddcf18b49f8172 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:22 p.m.