Triple

T36222093
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Caner E1047875 entity
Predicate employerWithinFiction P109189 FINISHED
Object Everlasting production
Everlasting production is a fictional company that serves as the in-story workplace of the character Jeremy Caner.
 E2174576 NE FINISHED

How this triple was built (3 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: Everlasting production | Statement: [Jeremy Caner, employerWithinFiction, Everlasting production]
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: Everlasting production
Triple: [Jeremy Caner, employerWithinFiction, Everlasting production]
Generated description
Everlasting production is a fictional company that serves as the in-story workplace of the character Jeremy Caner.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: employerWithinFiction
Context triple: [Jeremy Caner, employerWithinFiction, Everlasting production]
  • A. employerInPlot
    Indicates that one entity serves as the employer of another within the context of a specific plot or storyline.
  • B. employerInUniverse
    Indicates that one entity serves as the employer of another within a specified universe, context, or world.
  • C. employerFictionalIndustry
    Indicates that one entity is the employer of another within a fictional or imaginary industry or professional field.
  • D. employerInReality
    Indicates that one entity is the actual, real-world employer of another entity, as opposed to a nominal, legal, or assumed employer.
  • E. worksForFictionalOrganization chosen
    Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
  • F. None of above.

Provenance (6 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_69f76e42c878819095c8d19c0267fb87 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fbbc49da8c8190902bbb05d2477cab completed May 6, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a394d3327708190b1ddadc8e4324be3 completed June 22, 2026, 2:56 p.m.
NEDg Description generation batch_6a39501a807c81909e7e530da5052dc3 completed June 22, 2026, 3:09 p.m.
NED2 Entity disambiguation (via description) batch_6a3950a6b05481908c3370b4ed44b141 completed June 22, 2026, 3:11 p.m.
PD Predicate disambiguation batch_69fbb13f34b08190bbbb220ac1e6e666 completed May 6, 2026, 9:23 p.m.
Created at: May 3, 2026, 4:09 p.m.