Triple
T8851629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niecy Jackson |
E210650
|
entity |
| Predicate | portrayedInFormat |
P80112
|
FINISHED |
| Object | multi-camera 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: multi-camera sitcom | Statement: [Niecy Jackson, portrayedInFormat, multi-camera sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedInFormat Context triple: [Niecy Jackson, portrayedInFormat, multi-camera sitcom]
-
A.
portrayalFormat
chosen
Indicates the medium or format in which something is portrayed or represented (e.g., painting, sculpture, film, digital).
-
B.
portrayedVia
Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
-
C.
portrayedInFilmMedium
Indicates that an entity is depicted or represented within a film or cinematic work.
-
D.
portrayedInWork
Indicates that an entity is depicted or represented as a character, figure, or subject within a specific creative work.
-
E.
portraysCharacterInGenre
Indicates that an entity depicts or plays a character within works belonging to a specified genre.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:49 p.m.