Triple
T33702174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie Jones: Disability Comedy Extravaganza |
E863485
|
entity |
| Predicate | starsPersonWithDisability |
P177217
|
FINISHED |
| Object | Rosie Jones |
—
|
NE NERFINISHED |
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: Rosie Jones | Statement: [Rosie Jones: Disability Comedy Extravaganza, starsPersonWithDisability, Rosie Jones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsPersonWithDisability Context triple: [Rosie Jones: Disability Comedy Extravaganza, starsPersonWithDisability, Rosie Jones]
-
A.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
airedStarringActor
Indicates that a specific airing of a program featured a particular actor in a starring role.
-
C.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
-
D.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
-
E.
starOccupation
Indicates that an entity is the primary or featured performer in a particular occupation, role, or professional capacity.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:43 a.m.