Triple
T28621445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Request |
E724395
|
entity |
| Predicate | hasProductionGoal |
P114985
|
FINISHED |
| Object | emphasize emotional lyrics |
—
|
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: emphasize emotional lyrics | Statement: [Last Request, hasProductionGoal, emphasize emotional lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionGoal Context triple: [Last Request, hasProductionGoal, emphasize emotional lyrics]
-
A.
hasCreativeGoal
chosen
Indicates that an entity possesses or is pursuing a specific creative objective or intended creative outcome.
-
B.
targetProduction
Indicates a relationship where one entity is the intended or designated output, result, or product generated by another entity or process.
-
C.
hasOperationalGoal
Indicates that an entity is associated with a specific objective or target it aims to achieve through its operations or activities.
-
D.
hasProgramGoal
Indicates that an entity (such as a program or initiative) is associated with a specific intended goal or objective it aims to achieve.
-
E.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 28, 2026, 4:33 a.m.