Triple
T25315393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Mellon and His Times |
E634723
|
entity |
| Predicate | describesOccupationOfAuthor |
P938
|
FINISHED |
| Object | banker |
—
|
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: banker | Statement: [Thomas Mellon and His Times, describesOccupationOfAuthor, banker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesOccupationOfAuthor Context triple: [Thomas Mellon and His Times, describesOccupationOfAuthor, banker]
-
A.
authorOccupation
chosen
Indicates the professional role or job that an author holds or is associated with.
-
B.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
C.
hasAuthorOccupationOfAuthor
Indicates that an author has a specific occupation or professional role.
-
D.
describesOfficeHeldByAuthor
Indicates that the predicate specifies an official position or office that is or was held by the author.
-
E.
authorIsKnownFor
Indicates that a particular author is widely recognized or notable for a specific work, genre, contribution, or characteristic.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:27 p.m.