Triple
T30605035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy Jones Entertainment |
E779016
|
entity |
| Predicate | basedOnWorkForSeries |
P195049
|
FINISHED |
| Object | The Fresh Prince of Bel-Air |
—
|
NE NERFINISHED |
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: The Fresh Prince of Bel-Air | Statement: [Quincy Jones Entertainment, basedOnWorkForSeries, The Fresh Prince of Bel-Air]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnWorkForSeries Context triple: [Quincy Jones Entertainment, basedOnWorkForSeries, The Fresh Prince of Bel-Air]
-
A.
basedOnWorkSeries
Indicates that one entity is derived from, adapted from, or otherwise created using a particular series of works as its source or foundation.
-
B.
basedOnSeriesCreatedBy
Indicates that one work or entity is derived from, adapted from, or otherwise based on a series that was created by a specified creator.
-
C.
basedOnWorkAppearsIn
Indicates that one work is derived from or informed by another work in which it appears or is featured.
-
D.
basedOnWorkForFilm
Indicates that a film is created or derived from a specific underlying work (such as a book, play, or earlier screenplay).
-
E.
workedOnSeries
Indicates that an entity contributed work to the creation or production of a particular series.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
| PDg | Predicate description generation | batch_69fd9fef7aac819089cc88dd3d00296d |
completed | May 8, 2026, 8:33 a.m. |
Created at: April 29, 2026, 8:25 p.m.