Triple
T3519966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paddy's Pub |
E74396
|
entity |
| Predicate | genreOfWorkEnvironment |
P48505
|
FINISHED |
| Object | sitcom |
—
|
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: sitcom | Statement: [Paddy's Pub, genreOfWorkEnvironment, sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkEnvironment Context triple: [Paddy's Pub, genreOfWorkEnvironment, sitcom]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
genreOfOccupation
Indicates the specific genre or category that characterizes a particular occupation or professional role.
-
C.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
D.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
E.
settingOfWorks
Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4af70c8190a7471f28e1efd7fd |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.