Triple
T20177968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Steve-O |
E492649
|
entity |
| Predicate | starOccupation |
P138979
|
FINISHED |
| Object | stunt performer |
—
|
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: stunt performer | Statement: [Dr. Steve-O, starOccupation, stunt performer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starOccupation Context triple: [Dr. Steve-O, starOccupation, stunt performer]
-
A.
starOccupationInSeries
Indicates that an individual has a specific occupation or role as a starring character within a particular series.
-
B.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
C.
stars
Indicates that one entity marks, highlights, or designates another as special, important, or featured (often by assigning a star or similar marker).
-
D.
starType
Indicates the classification relationship specifying what type or category of star an astronomical object is.
-
E.
occupationInFilm
Indicates that an entity has a specific occupation or role within the context of a particular film.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ec4d7c81909fa4bdc58ed54aeb |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:36 p.m.