Triple
T23979284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cora Corman |
E604460
|
entity |
| Predicate | notableSongInFilm |
P42255
|
FINISHED |
| Object | Buddha’s Delight |
—
|
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: Buddha’s Delight | Statement: [Cora Corman, notableSongInFilm, Buddha’s Delight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSongInFilm Context triple: [Cora Corman, notableSongInFilm, Buddha’s Delight]
-
A.
songFeaturedInFilm
chosen
Indicates that a particular song is included or used within a specific film.
-
B.
notableSongWrittenFor
Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
-
C.
notableSongInMusical
Indicates that a particular song is especially prominent, well-known, or significant within a given musical.
-
D.
notableSongAssociations
Indicates that there are notable or significant associations between an entity and specific songs, such as being referenced by, inspiring, or otherwise prominently linked to those songs.
-
E.
songRepopularizedByFilm
Indicates that a previously released song regained popularity as a result of being featured in a film.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bc79688190bc98a2d57b91f5a3 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:26 p.m.