Triple
T38138123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Graduate (film soundtrack) |
E952403
|
entity |
| Predicate | hasPrimaryPerformers |
P1363
|
FINISHED |
| Object | Simon & Garfunkel |
E58957
|
NE 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: Simon & Garfunkel | Statement: [The Graduate (film soundtrack), hasPrimaryPerformers, Simon & Garfunkel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryPerformers Context triple: [The Graduate (film soundtrack), hasPrimaryPerformers, Simon & Garfunkel]
-
A.
numberOfMainPerformers
Indicates the count of primary performers involved in a performance or event.
-
B.
hasNotablePerformer
Indicates that an entity features or is associated with a performer who is particularly prominent, famous, or otherwise noteworthy.
-
C.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
D.
hasPerformerGivenName
Indicates that a performer is associated with a specific given (first) name.
-
E.
performedBy
chosen
Indicates that an action, task, or event is carried out or executed by a specified agent or entity.
- F. None of above.
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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4193b76c448190a543cc78b1e71947 |
completed | June 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.