Triple
T7606114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Tripp |
E180107
|
entity |
| Predicate | settingOfWorkFeaturedIn |
P77733
|
FINISHED |
| Object | late-night sketch comedy show |
—
|
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: late-night sketch comedy show | Statement: [Danny Tripp, settingOfWorkFeaturedIn, late-night sketch comedy show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfWorkFeaturedIn Context triple: [Danny Tripp, settingOfWorkFeaturedIn, late-night sketch comedy show]
-
A.
workFeatured
Indicates that one work is highlighted, showcased, or given special prominence within a particular context, collection, or presentation.
-
B.
settingOfWorks
Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
-
C.
studioOfWork
Indicates that a particular studio is the place where a given work (such as a film, artwork, or recording) was created, produced, or primarily developed.
-
D.
portrayedInWork
Indicates that an entity is depicted or represented as a character, figure, or subject within a specific creative work.
-
E.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fcfcfc8190a29a0b5cd3e8927a |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8195e5c8190835e28d44e19f6ef |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:54 p.m.