Triple

T15045619
Position Surface form Disambiguated ID Type / Status
Subject Jess Glynne E379216 entity
Predicate associatedAct P37 FINISHED
Object Dan Caplen
Dan Caplen is a British singer, songwriter, and producer known for his soulful vocals and collaborations in contemporary pop and R&B music.
 E1133841 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: Dan Caplen | Statement: [Jess Glynne, associatedAct, Dan Caplen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan Caplen
Context triple: [Jess Glynne, associatedAct, Dan Caplen]
  • A. Brian Capener
    Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
  • B. Larry Cipa
    Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
  • C. Ben Caplan
    Ben Caplan is the brother of American actress Lizzy Caplan, known for maintaining a largely private life outside of his sister’s public career.
  • D. Dan Cracchiolo
    Dan Cracchiolo is a film producer known for his work on action movies, including the Steven Seagal vehicle "Exit Wounds."
  • E. Dan Pfeiffer
    Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
  • 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: Dan Caplen
Triple: [Jess Glynne, associatedAct, Dan Caplen]
Generated description
Dan Caplen is a British singer, songwriter, and producer known for his soulful vocals and collaborations in contemporary pop and R&B music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan Caplen
Target entity description: Dan Caplen is a British singer, songwriter, and producer known for his soulful vocals and collaborations in contemporary pop and R&B music.
  • A. Brian Capener
    Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
  • B. Larry Cipa
    Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
  • C. Ben Caplan
    Ben Caplan is the brother of American actress Lizzy Caplan, known for maintaining a largely private life outside of his sister’s public career.
  • D. Dan Cracchiolo
    Dan Cracchiolo is a film producer known for his work on action movies, including the Steven Seagal vehicle "Exit Wounds."
  • E. Dan Pfeiffer
    Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fea0791f1c81908dcad401fa3ac245 completed May 9, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69fea11a35a88190a5ad6f261fd2d9dc completed May 9, 2026, 2:51 a.m.
Created at: April 10, 2026, 3 a.m.