Triple
T12942705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Passenger |
E309673
|
entity |
| Predicate | authorWorkPosition |
P19302
|
FINISHED |
| Object | late-career novel of Cormac McCarthy |
—
|
LITERAL FINISHED |
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: late-career novel of Cormac McCarthy | Statement: [The Passenger, authorWorkPosition, late-career novel of Cormac McCarthy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorWorkPosition Context triple: [The Passenger, authorWorkPosition, late-career novel of Cormac McCarthy]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
positionOfAuthor
Indicates the spatial or organizational location associated with an author in relation to some reference context.
-
C.
workSubjectPosition
Indicates that a work (such as a publication or creative piece) is associated with a subject that occupies a specific position or ordering within a list or sequence of subjects.
-
D.
authorOfPreviousWork
Indicates that one entity is the creator or writer of an earlier work referenced or built upon by another entity.
-
E.
positionInAuthorOeuvre
chosen
Indicates the relative placement or order of a work within an author's overall body of work.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.