Triple

T36371566
Position Surface form Disambiguated ID Type / Status
Subject Old Men In Love E895768 entity
Predicate containsFictionalEditor P85278 FINISHED
Object Sydney Workman
Sydney Workman is a fictional editor character who appears within Alasdair Gray’s novel "Old Men in Love," serving as part of the book’s metafictional framing device.
 E2180489 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: Sydney Workman | Statement: [Old Men In Love, containsFictionalEditor, Sydney Workman]
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: Sydney Workman
Triple: [Old Men In Love, containsFictionalEditor, Sydney Workman]
Generated description
Sydney Workman is a fictional editor character who appears within Alasdair Gray’s novel "Old Men in Love," serving as part of the book’s metafictional framing device.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: containsFictionalEditor
Context triple: [Old Men In Love, containsFictionalEditor, Sydney Workman]
  • A. hasFictionalEditor chosen
    Indicates that an entity is associated with a fictional editor character responsible for editing or overseeing its content within a narrative or fictional context.
  • B. hasFictionalAuthor
    Indicates that one entity is the fictional or in-universe author of a work attributed to them.
  • C. hasFictionalContent
    Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
  • D. hasFictionalIssue
    Indicates that one entity possesses, is associated with, or is characterized by a particular fictional problem, flaw, or complication.
  • E. hasFictionComponent
    Indicates that something includes, contains, or is composed in part of a fictional element or work.
  • 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_69f76e5115588190ad8738860b7bc68b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a01289f781481908f3788f8a719f2f4 completed May 11, 2026, 12:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a39a337c3848190be56b96870d4a13d completed June 22, 2026, 9:03 p.m.
NEDg Description generation batch_6a39a3e4a9488190a77ea18c86b5af48 completed June 22, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a39a49278088190b10c591fec7c42e2 completed June 22, 2026, 9:09 p.m.
PD Predicate disambiguation batch_6a012823c7248190961e20be48dd6246 completed May 11, 2026, 12:51 a.m.
Created at: May 3, 2026, 4:10 p.m.