Triple
T16612030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie |
E403597
|
entity |
| Predicate | televisionSeriesFormat |
P66878
|
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: [Rosie, televisionSeriesFormat, multi-camera sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionSeriesFormat Context triple: [Rosie, televisionSeriesFormat, multi-camera sitcom]
-
A.
televisionFormat
chosen
Indicates the specific type or style of television program or production format associated with an entity.
-
B.
typicalBroadcastFormat
Indicates the usual or standard broadcast format in which something (such as a program or content) is typically transmitted.
-
C.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
D.
seriesMedium
Indicates that a series is presented or distributed through a particular medium or format (such as television, radio, print, or online).
-
E.
playedFormat
Indicates that an entity (such as a game, show, or media content) is or was presented, delivered, or experienced in a particular format (such as digital, physical, live, or specific media type).
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.