Triple

T13855336
Position Surface form Disambiguated ID Type / Status
Subject Temple Grandin E333048 entity
Predicate familyName P18 FINISHED
Object Grandin
Grandin is the surname of Temple Grandin, a prominent American animal behaviorist, autism advocate, and professor known for revolutionizing livestock handling systems.
 E1066866 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: Grandin | Statement: [Temple Grandin, familyName, Grandin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grandin
Context triple: [Temple Grandin, familyName, Grandin]
  • A. La Boeuf
    La Boeuf is a determined Texas Ranger who teams up with Rooster Cogburn and Mattie Ross to track down an outlaw in the Western story "True Grit."
  • B. Frieda
    Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
  • C. Frieda
    Frieda is a minor Peanuts character known for her naturally curly hair and prim personality, who appears alongside Charlie Brown and his friends.
  • D. Bessie
    Bessie is a feminine given name most famously associated with legendary American blues singer Bessie Smith.
  • E. Bessie
    Bessie is a character from "The Land of Dreams," likely serving as a central figure within its imaginative, dreamlike narrative world.
  • 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: Grandin
Triple: [Temple Grandin, familyName, Grandin]
Generated description
Grandin is the surname of Temple Grandin, a prominent American animal behaviorist, autism advocate, and professor known for revolutionizing livestock handling systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grandin
Target entity description: Grandin is the surname of Temple Grandin, a prominent American animal behaviorist, autism advocate, and professor known for revolutionizing livestock handling systems.
  • A. La Boeuf
    La Boeuf is a determined Texas Ranger who teams up with Rooster Cogburn and Mattie Ross to track down an outlaw in the Western story "True Grit."
  • B. Frieda
    Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
  • C. Frieda
    Frieda is a minor Peanuts character known for her naturally curly hair and prim personality, who appears alongside Charlie Brown and his friends.
  • D. Bessie
    Bessie is a feminine given name most famously associated with legendary American blues singer Bessie Smith.
  • E. Bessie
    Bessie is a character from "The Land of Dreams," likely serving as a central figure within its imaginative, dreamlike narrative world.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02db9c9c81909bb2d2fbfb7394b1 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fb7c3c819081fc6f89aa17d6af completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c2c711948190ac614291592a7e03 completed May 3, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69f7c36f28b48190b734a9e5e7ae39b9 completed May 3, 2026, 9:51 p.m.
Created at: April 9, 2026, 10:14 p.m.