Triple

T23374281
Position Surface form Disambiguated ID Type / Status
Subject Kene Holliday E593562 entity
Predicate characterPortrayed P1507 FINISHED
Object Tyler Hudson
Tyler Hudson is a fictional private investigator and close associate of defense attorney Ben Matlock on the television series "Matlock."
E1587114 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: Tyler Hudson | Statement: [Kene Holliday, characterPortrayed, Tyler Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyler Hudson
Context triple: [Kene Holliday, characterPortrayed, Tyler Hudson]
  • A. Jalen Beeks
    Jalen Beeks is an American professional baseball pitcher who has played in Major League Baseball, notably for teams such as the Tampa Bay Rays.
  • B. Austin Bunn
    Austin Bunn is an American screenwriter, playwright, and professor best known for co-writing the screenplay for the biographical drama film "Kill Your Darlings."
  • C. Austin Dempster
    Austin Dempster is a cinematographer best known for his work on the fantasy-comedy film "Bedazzled."
  • D. Marlon Ross
    Marlon Ross is a distinguished American scholar and literary critic known for his work on race, gender, and sexuality in 19th- and 20th-century literature and culture.
  • E. Guy Buxton
    Guy Buxton is a notable member of the Buxton family, recognized for his prominence within this historically significant lineage.
  • 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: Tyler Hudson
Triple: [Kene Holliday, characterPortrayed, Tyler Hudson]
Generated description
Tyler Hudson is a fictional private investigator and close associate of defense attorney Ben Matlock on the television series "Matlock."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tyler Hudson
Target entity description: Tyler Hudson is a fictional private investigator and close associate of defense attorney Ben Matlock on the television series "Matlock."
  • A. Jalen Beeks
    Jalen Beeks is an American professional baseball pitcher who has played in Major League Baseball, notably for teams such as the Tampa Bay Rays.
  • B. Austin Bunn
    Austin Bunn is an American screenwriter, playwright, and professor best known for co-writing the screenplay for the biographical drama film "Kill Your Darlings."
  • C. Austin Dempster
    Austin Dempster is a cinematographer best known for his work on the fantasy-comedy film "Bedazzled."
  • D. Marlon Ross
    Marlon Ross is a distinguished American scholar and literary critic known for his work on race, gender, and sexuality in 19th- and 20th-century literature and culture.
  • E. Guy Buxton
    Guy Buxton is a notable member of the Buxton family, recognized for his prominence within this historically significant lineage.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b1d24881909945936cbf00876e completed April 29, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c678db5c88190a1981f736a36e749 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7213e19881909151fe5c0560e096 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c770386a8819098358513016ae5ab completed May 19, 2026, 2:43 p.m.
Created at: April 17, 2026, 5:33 p.m.