Triple

T10194632
Position Surface form Disambiguated ID Type / Status
Subject Pet E238129 entity
Predicate starring P1507 FINISHED
Object Nathan Parsons
Nathan Parsons is an Australian-born American actor best known for his roles on television series such as "General Hospital," "The Originals," and "Roswell, New Mexico."
E848480 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 Parsons | Statement: [Pet, starring, Nathan Parsons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Parsons
Context triple: [Pet, starring, Nathan Parsons]
  • A. Nathan Chapman
    Nathan Chapman is an American record producer best known for his extensive work shaping Taylor Swift’s early country-pop sound.
  • B. Michael Parsons
    Michael Parsons is an engineer and designer best known for his role in creating Istanbul’s iconic 15 July Martyrs Bridge (formerly the Bosphorus Bridge).
  • C. Nathan Cunningham
    Nathan Cunningham is a songwriter best known for co-writing the track "Never Really Over."
  • D. Nathan Bogle
    Nathan Bogle is a central fictional protagonist in the work "NW," around whom much of the narrative and character development revolves.
  • 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 Parsons
Triple: [Pet, starring, Nathan Parsons]
Generated description
Nathan Parsons is an Australian-born American actor best known for his roles on television series such as "General Hospital," "The Originals," and "Roswell, New Mexico."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nathan Parsons
Target entity description: Nathan Parsons is an Australian-born American actor best known for his roles on television series such as "General Hospital," "The Originals," and "Roswell, New Mexico."
  • A. Nathan Chapman
    Nathan Chapman is an American record producer best known for his extensive work shaping Taylor Swift’s early country-pop sound.
  • B. Michael Parsons
    Michael Parsons is an engineer and designer best known for his role in creating Istanbul’s iconic 15 July Martyrs Bridge (formerly the Bosphorus Bridge).
  • C. Nathan Cunningham
    Nathan Cunningham is a songwriter best known for co-writing the track "Never Really Over."
  • D. Nathan Bogle
    Nathan Bogle is a central fictional protagonist in the work "NW," around whom much of the narrative and character development revolves.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369b043608190a740621a2eeb49ed completed April 6, 2026, 8:07 a.m.
NEDg Description generation batch_69d36a995d908190af21fe1dd25a407f completed April 6, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69d36ae8c9a881909e553072217790f6 completed April 6, 2026, 8:12 a.m.
Created at: March 30, 2026, 9:13 p.m.