Triple
T9473967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feeling Electric |
E228463
|
entity |
| Predicate | awardOutcome |
P88315
|
FINISHED |
| Object | source material for Pulitzer Prize–winning musical Next to Normal |
—
|
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: source material for Pulitzer Prize–winning musical Next to Normal | Statement: [Feeling Electric, awardOutcome, source material for Pulitzer Prize–winning musical Next to Normal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardOutcome Context triple: [Feeling Electric, awardOutcome, source material for Pulitzer Prize–winning musical Next to Normal]
-
A.
awardResult
Indicates the outcome or status of an award process, linking an award event to its final decision or result.
-
B.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
C.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
awardStatus
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff23aec8190b5341eb9bd816a43 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:54 p.m.