Triple
T34633359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Private View |
E889347
|
entity |
| Predicate | describesRoleOfAuthorAs |
P11526
|
FINISHED |
| Object | Hollywood insider |
—
|
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: Hollywood insider | Statement: [A Private View, describesRoleOfAuthorAs, Hollywood insider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesRoleOfAuthorAs Context triple: [A Private View, describesRoleOfAuthorAs, Hollywood insider]
-
A.
describesRoleAs
chosen
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.
authorDescribes
Indicates that an author provides a depiction, explanation, or account of a subject in their work.
-
D.
authorOfDescription
Indicates that an entity is the creator or writer of a particular description or explanatory text about something.
-
E.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 1, 2026, 2:04 a.m.