Triple
T27560576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legacy of Ashes |
E695757
|
entity |
| Predicate | authorEmployerAtTimeOfWriting |
P78756
|
FINISHED |
| Object | The New York Times |
—
|
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: The New York Times | Statement: [Legacy of Ashes, authorEmployerAtTimeOfWriting, The New York Times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorEmployerAtTimeOfWriting Context triple: [Legacy of Ashes, authorEmployerAtTimeOfWriting, The New York Times]
-
A.
hasAuthorEmployer
chosen
Indicates that the specified organization or entity is the employer of the author in question.
-
B.
employerOrPublisherOf
Indicates that one entity serves as the employer or publishing organization responsible for another entity (such as a person or work).
-
C.
employedAtTime
Indicates that an employment relationship holds during a specified time or time interval.
-
D.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
E.
workAt
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 27, 2026, 1:39 p.m.