Triple

T10944252
Position Surface form Disambiguated ID Type / Status
Subject Jay Hernandez E258552 entity
Predicate playedCharacter P1507 FINISHED
Object Paxton
Paxton is a central character in the horror film "Hostel," portrayed as an American tourist whose vacation in Europe turns into a brutal fight for survival.
 E895539 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: Paxton | Statement: [Jay Hernandez, playedCharacter, Paxton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paxton
Context triple: [Jay Hernandez, playedCharacter, Paxton]
  • A. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • B. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • C. Lamont
    Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
  • D. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • E. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • 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: Paxton
Triple: [Jay Hernandez, playedCharacter, Paxton]
Generated description
Paxton is a central character in the horror film "Hostel," portrayed as an American tourist whose vacation in Europe turns into a brutal fight for survival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paxton
Target entity description: Paxton is a central character in the horror film "Hostel," portrayed as an American tourist whose vacation in Europe turns into a brutal fight for survival.
  • A. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • B. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • C. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • D. Lamont
    Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
  • E. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c2dea008190af68336a096b7f7c completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.