Triple

T17171263
Position Surface form Disambiguated ID Type / Status
Subject Lola (Kinky Boots) E416737 entity
Predicate stagePortrayalBy P44516 FINISHED
Object Matt Henry
Matt Henry is a British actor and singer best known for his Olivier Award-winning performance as Lola in the West End production of the musical "Kinky Boots."
E1254012 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: Matt Henry | Statement: [Lola (Kinky Boots), stagePortrayalBy, Matt Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Henry
Context triple: [Lola (Kinky Boots), stagePortrayalBy, Matt Henry]
  • A. Dane Henry
    Dane Henry is a film editor best known for his work on the acclaimed rock climbing documentary "The Dawn Wall."
  • B. Nathan Bexton
    Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
  • C. Josh Archer
    Josh Archer is a fictional character in the long-running BBC Radio 4 soap opera "The Archers."
  • D. Justin Henderson
    Justin Henderson is a songwriter best known for co-writing the track "Wildest Dreams."
  • E. Blake Henderson
    Blake Henderson is a central character on the comedy series "Workaholics," known as a childish, eccentric slacker who works at a telemarketing company with his equally immature friends.
  • 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: Matt Henry
Triple: [Lola (Kinky Boots), stagePortrayalBy, Matt Henry]
Generated description
Matt Henry is a British actor and singer best known for his Olivier Award-winning performance as Lola in the West End production of the musical "Kinky Boots."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt Henry
Target entity description: Matt Henry is a British actor and singer best known for his Olivier Award-winning performance as Lola in the West End production of the musical "Kinky Boots."
  • A. Dane Henry
    Dane Henry is a film editor best known for his work on the acclaimed rock climbing documentary "The Dawn Wall."
  • B. Nathan Bexton
    Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
  • C. Josh Archer
    Josh Archer is a fictional character in the long-running BBC Radio 4 soap opera "The Archers."
  • D. Justin Henderson
    Justin Henderson is a songwriter best known for co-writing the track "Wildest Dreams."
  • E. Blake Henderson
    Blake Henderson is a central character on the comedy series "Workaholics," known as a childish, eccentric slacker who works at a telemarketing company with his equally immature friends.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483f85648190acaeb197013e1f1b completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a1993a48190bf65e590ff57c9c2 completed May 11, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a014a7fa5208190a0a60649fe6292d1 completed May 11, 2026, 3:18 a.m.
Created at: April 10, 2026, 5:37 a.m.