Triple
T7606118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Tripp |
E180107
|
entity |
| Predicate | appearsInNumberOfEpisodes |
P2593
|
FINISHED |
| Object | multiple episodes of Studio 60 on the Sunset Strip |
—
|
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: multiple episodes of Studio 60 on the Sunset Strip | Statement: [Danny Tripp, appearsInNumberOfEpisodes, multiple episodes of Studio 60 on the Sunset Strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInNumberOfEpisodes Context triple: [Danny Tripp, appearsInNumberOfEpisodes, multiple episodes of Studio 60 on the Sunset Strip]
-
A.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
B.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
-
C.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
D.
numberOfEpisodes
chosen
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
E.
appearsInAdaptationBy
Indicates that an entity is featured or present in an adaptation created by a specified adapter (e.g., author, director, or studio).
- 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_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. |
Created at: March 27, 2026, 3:54 p.m.