Triple
T37807119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Amis (character) |
E942532
|
entity |
| Predicate | authorWithinFictionOf |
P106749
|
FINISHED |
| Object | Money: A Suicide Note |
—
|
NE NERFINISHED |
How this triple was built (2 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: Money: A Suicide Note | Statement: [Martin Amis (character), authorWithinFictionOf, Money: A Suicide Note]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorWithinFictionOf Context triple: [Martin Amis (character), authorWithinFictionOf, Money: A Suicide Note]
-
A.
authorshipInFiction
chosen
Indicates that one entity is the creator or writer of a fictional work in which another entity appears or is represented.
-
B.
eraWithinFiction
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
-
C.
worksWithInFiction
Indicates that two fictional characters are depicted as collaborating, interacting, or being associated with each other within a narrative work.
-
D.
authorOfNarrativeWithinWork
Indicates that one entity is the creator or writer of a narrative that exists as a component or embedded story within a larger work.
-
E.
showWithinFiction
Indicates that one entity is depicted, referenced, or occurs as part of the fictional world or narrative context of another entity.
- F. None of above.
Provenance (3 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.