Triple
T31711871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Watson |
E809342
|
entity |
| Predicate | roleInSkyline |
P201144
|
FINISHED |
| Object | cinematographer |
—
|
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: cinematographer | Statement: [Michael Watson, roleInSkyline, cinematographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSkyline Context triple: [Michael Watson, roleInSkyline, cinematographer]
-
A.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
B.
roleInNebula
Indicates that an entity holds a specific function, position, or involvement within a particular nebula.
-
C.
portfolioRole
Indicates the specific function, capacity, or position an entity holds within a portfolio or collection of assets.
-
D.
designedRole
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
-
E.
agencyRole
Indicates that one entity serves in a specific functional or organizational capacity on behalf of, or within, another entity (such as an agency, institution, or governing body).
- F. None of above. chosen
Provenance (4 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: April 30, 2026, 11:15 p.m.