Triple
T21481072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillip Van Dyke |
E529992
|
entity |
| Predicate | hasGivenUpOccupation |
P107616
|
FINISHED |
| Object | acting |
—
|
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: acting | Statement: [Phillip Van Dyke, hasGivenUpOccupation, acting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenUpOccupation Context triple: [Phillip Van Dyke, hasGivenUpOccupation, acting]
-
A.
hadOccupationStatusUntil
Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
-
B.
hasGivenProfession
Indicates that an entity holds or practices a specified profession or occupation.
-
C.
hasPastOccupation
chosen
Indicates that an entity previously held a particular job, role, or occupation in the past.
-
D.
hasGivenUpOffice
Indicates that an entity has relinquished or ceased to hold a particular office or official position.
-
E.
typeOfOccupationEnded
Indicates that a particular type of occupation or job role has come to an end for an entity.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:21 p.m.