Triple

T12333469
Position Surface form Disambiguated ID Type / Status
Subject The In Crowd E294019 entity
Predicate castMember P1668 FINISHED
Object Nathan Bexton
Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
E983252 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: Nathan Bexton | Statement: [The In Crowd, castMember, Nathan Bexton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Bexton
Context triple: [The In Crowd, castMember, Nathan Bexton]
  • A. Nathan Young
    Nathan Young is a musician best known as a member of the American alternative rock band Anberlin, where he serves as the drummer.
  • B. Nate Rogers
    Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
  • C. Nathan Maloney
    Nathan Maloney is a central teenage character in the British TV drama "Queer as Folk," known for exploring his sexuality and identity within Manchester’s gay scene.
  • D. Nathan Keller
    Nathan Keller is an Israeli mathematician and cryptographer known for his work in discrete mathematics, Boolean functions, and the analysis of cryptographic algorithms.
  • E. Nathan Nugent
    Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
  • 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: Nathan Bexton
Triple: [The In Crowd, castMember, Nathan Bexton]
Generated description
Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nathan Bexton
Target entity description: Nathan Bexton is an American actor best known for his role in the 2000 teen thriller film "The In Crowd."
  • A. Nathan Young
    Nathan Young is a musician best known as a member of the American alternative rock band Anberlin, where he serves as the drummer.
  • B. Nate Rogers
    Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
  • C. Nathan Maloney
    Nathan Maloney is a central teenage character in the British TV drama "Queer as Folk," known for exploring his sexuality and identity within Manchester’s gay scene.
  • D. Nathan Keller
    Nathan Keller is an Israeli mathematician and cryptographer known for his work in discrete mathematics, Boolean functions, and the analysis of cryptographic algorithms.
  • E. Nathan Nugent
    Nathan Nugent is a film editor known for his work on acclaimed independent and international films, including collaborations with director Sebastián Lelio.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ef164508190bc311a8199cfbc70 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6400fe9888190ae8244ccc8e8bc39 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f6416ba1bc8190a772bffe4d83ec15 completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:53 p.m.