Triple

T22840604
Position Surface form Disambiguated ID Type / Status
Subject Unbelievable E566067 entity
Predicate stars P1956 FINISHED
Object Austin Hébert
Austin Hébert is an American actor known for his work in film and television, including a role in the drama series "Unbelievable."
E1557692 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: Austin Hébert | Statement: [Unbelievable, stars, Austin Hébert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austin Hébert
Context triple: [Unbelievable, stars, Austin Hébert]
  • A. Pierre Garçon
    Pierre Garçon is a former NFL wide receiver best known for his productive stints with the Indianapolis Colts and Washington Redskins.
  • B. Allen George
    Allen George is a writer best known for his work on the film "Fade."
  • C. Jerome Tang
    Jerome Tang is an American college basketball coach best known for revitalizing the Kansas State Wildcats men's basketball program after a long tenure as an assistant at Baylor.
  • D. Quenton Nelson
    Quenton Nelson is an American football guard in the NFL, best known as a dominant All-Pro lineman for the Indianapolis Colts.
  • E. Bestor Robinson
    Bestor Robinson was an American mountaineer, attorney, and conservationist known for pioneering climbs in the American Southwest and his leadership in the Sierra Club.
  • 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: Austin Hébert
Triple: [Unbelievable, stars, Austin Hébert]
Generated description
Austin Hébert is an American actor known for his work in film and television, including a role in the drama series "Unbelievable."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Austin Hébert
Target entity description: Austin Hébert is an American actor known for his work in film and television, including a role in the drama series "Unbelievable."
  • A. Pierre Garçon
    Pierre Garçon is a former NFL wide receiver best known for his productive stints with the Indianapolis Colts and Washington Redskins.
  • B. Allen George
    Allen George is a writer best known for his work on the film "Fade."
  • C. Jerome Tang
    Jerome Tang is an American college basketball coach best known for revitalizing the Kansas State Wildcats men's basketball program after a long tenure as an assistant at Baylor.
  • D. Quenton Nelson
    Quenton Nelson is an American football guard in the NFL, best known as a dominant All-Pro lineman for the Indianapolis Colts.
  • E. Bestor Robinson
    Bestor Robinson was an American mountaineer, attorney, and conservationist known for pioneering climbs in the American Southwest and his leadership in the Sierra Club.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7b565388190bb70602834ae5622 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8666f608190b512aa4c8442f6c1 completed May 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0baa4decf881909774facad2cae93d completed May 19, 2026, 12:09 a.m.
Created at: April 17, 2026, 3:35 p.m.