Triple
T22132208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here’s the Deal: A Memoir |
E546930
|
entity |
| Predicate | describesRoleOfAuthor |
P86337
|
FINISHED |
| Object | Counselor to the President |
—
|
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: Counselor to the President | Statement: [Here’s the Deal: A Memoir, describesRoleOfAuthor, Counselor to the President]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesRoleOfAuthor Context triple: [Here’s the Deal: A Memoir, describesRoleOfAuthor, Counselor to the President]
-
A.
describesRoleAs
Indicates that one entity specifies or characterizes the role or function played by another entity.
-
B.
hasContributorRoleOfAuthor
Indicates that an entity participates as a contributor specifically in the role of an author in relation to another entity.
-
C.
declaredRoleOfAuthor
chosen
Indicates that a specific role or capacity has been explicitly stated or assigned to an author in relation to a work or contribution.
-
D.
literaryAgentRoleOfAuthor
Indicates that an entity serves as the literary agent representing a particular author in professional or contractual matters.
-
E.
authorOfDescription
Indicates that an entity is the creator or writer of a particular description or explanatory text about something.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1298746888190967b4e3ae0558e9e |
completed | April 28, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.