Triple
T31352216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGS writers’ room |
E799628
|
entity |
| Predicate | partOfFictionalShowProduction |
P199575
|
FINISHED |
| Object | TGS production offices |
—
|
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: TGS production offices | Statement: [TGS writers’ room, partOfFictionalShowProduction, TGS production offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfFictionalShowProduction Context triple: [TGS writers’ room, partOfFictionalShowProduction, TGS production offices]
-
A.
hasFictionalShowWithinShow
Indicates that one show contains or features another fictional show within its narrative.
-
B.
hasFictionalProductionType
Indicates that an entity is associated with a specific type or category of fictional production (such as a genre, format, or style).
-
C.
partOfFictionalCorpus
Indicates that one fictional work, element, or text belongs to or is contained within a larger fictional collection, series, or universe.
-
D.
producedEpisodeOf
Indicates that one entity served as a producer (or was responsible for production) of a particular episode of a series or program.
-
E.
worksOnTVShow
Indicates that an individual is professionally involved in the production or creation of a particular television show.
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69ff46aefe248190a80d898df6ef1340 |
completed | May 9, 2026, 2:37 p.m. |
Created at: April 29, 2026, 9:17 p.m.