Triple

T18231043
Position Surface form Disambiguated ID Type / Status
Subject Kyler Murray E436542 entity
Predicate givenName P17 FINISHED
Object Kyler
Kyler is the first name of Kyler Murray, an American football quarterback in the NFL.
 E1313823 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: Kyler | Statement: [Kyler Murray, givenName, Kyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyler
Context triple: [Kyler Murray, givenName, Kyler]
  • A. Kellen
    Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
  • B. Kolton Stewart
    Kolton Stewart is a Canadian actor and musician known for his roles in film and television, including appearances in fantasy and family-oriented productions.
  • C. Bryce Loski
    Bryce Loski is the shy, image-conscious boy whose evolving feelings and perspective drive the coming-of-age romance in the novel and film "Flipped."
  • D. Brycen
    Brycen is a modern masculine given name, typically considered a variant of the name Bryson.
  • E. Dawson Leery
    Dawson Leery is the introspective, film-obsessed main character of the television series "Dawson's Creek," known for his close-knit friendships and coming-of-age struggles in the fictional town of Capeside.
  • 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: Kyler
Triple: [Kyler Murray, givenName, Kyler]
Generated description
Kyler is the first name of Kyler Murray, an American football quarterback in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyler
Target entity description: Kyler is the first name of Kyler Murray, an American football quarterback in the NFL.
  • A. Kellen
    Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
  • B. Kolton Stewart
    Kolton Stewart is a Canadian actor and musician known for his roles in film and television, including appearances in fantasy and family-oriented productions.
  • C. Bryce Loski
    Bryce Loski is the shy, image-conscious boy whose evolving feelings and perspective drive the coming-of-age romance in the novel and film "Flipped."
  • D. Brycen
    Brycen is a modern masculine given name, typically considered a variant of the name Bryson.
  • E. Dawson Leery
    Dawson Leery is the introspective, film-obsessed main character of the television series "Dawson's Creek," known for his close-knit friendships and coming-of-age struggles in the fictional town of Capeside.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b3495881909f2a3f3a8db43792 completed April 19, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac66d0b08190a09a20b1f393ed4f completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad5a19208190942d0a2a92641f69 completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03adfb5e148190b96a0026a72d789b completed May 12, 2026, 10:47 p.m.
Created at: April 10, 2026, 10:33 a.m.