Triple

T3262706
Position Surface form Disambiguated ID Type / Status
Subject John Ortiz E68448 entity
Predicate notableWork P4 FINISHED
Object The Job
The Job is a film featuring actor John Ortiz in a significant role.
 E342947 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: The Job | Statement: [John Ortiz, notableWork, The Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Job
Context triple: [John Ortiz, notableWork, The Job]
  • A. A Job to Live
    A Job to Live is a work by British politician and author Shirley Williams that reflects her engagement with social and political issues.
  • B. Man's Job
    "Man's Job" is a song by Bruce Springsteen from his 1992 album *Human Touch*, reflecting his rock style and storytelling about work, identity, and relationships.
  • C. Jobes
    Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
  • D. His New Job
    His New Job is a 1915 silent comedy film written, directed by, and starring Charlie Chaplin, notable as his first film made after leaving Keystone Studios.
  • E. The Employer
    The Employer is a thriller film featuring Paige Howard in a prominent role.
  • 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: The Job
Triple: [John Ortiz, notableWork, The Job]
Generated description
The Job is a film featuring actor John Ortiz in a significant role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Job
Target entity description: The Job is a film featuring actor John Ortiz in a significant role.
  • A. A Job to Live
    A Job to Live is a work by British politician and author Shirley Williams that reflects her engagement with social and political issues.
  • B. Man's Job
    "Man's Job" is a song by Bruce Springsteen from his 1992 album *Human Touch*, reflecting his rock style and storytelling about work, identity, and relationships.
  • C. Jobes
    Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
  • D. His New Job
    His New Job is a 1915 silent comedy film written, directed by, and starring Charlie Chaplin, notable as his first film made after leaving Keystone Studios.
  • E. The Employer
    The Employer is a thriller film featuring Paige Howard in a prominent role.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa908e881908cbb2ad137819ffb completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee2ec8481908a0c0f4a32c97fe0 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b296709f84819094fe9db721a44f83 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.