Triple
T5140443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If You Feel Like Singing, Sing |
E115934
|
entity |
| Predicate | associatedWithPerformerOccupation |
P24742
|
FINISHED |
| Object | actress |
—
|
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: actress | Statement: [If You Feel Like Singing, Sing, associatedWithPerformerOccupation, actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPerformerOccupation Context triple: [If You Feel Like Singing, Sing, associatedWithPerformerOccupation, actress]
-
A.
associatedWithPerformer
Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
-
B.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
C.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
-
D.
performerRelationshipContext
Indicates the contextual nature or circumstances of the relationship between a performer and another entity (such as an event, work, or role).
-
E.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.