Triple
T11343529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTM Enterprises |
E268658
|
entity |
| Predicate | notableSeriesFormat |
P66878
|
FINISHED |
| Object | ensemble cast sitcoms |
—
|
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: ensemble cast sitcoms | Statement: [MTM Enterprises, notableSeriesFormat, ensemble cast sitcoms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesFormat Context triple: [MTM Enterprises, notableSeriesFormat, ensemble cast sitcoms]
-
A.
televisionFormat
chosen
Indicates the specific type or style of television program or production format associated with an entity.
-
B.
notableSeries
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
-
C.
notableSeriesStyle
Indicates that a work is created in the characteristic style of a notable series or franchise.
-
D.
notableProgramType
Indicates that the subject is recognized for or associated with a particular type or category of program.
-
E.
notableSeriesFocus
Indicates that a notable series primarily centers on, highlights, or is thematically focused around a particular subject or entity.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.