Triple
T32544494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Enough |
E831802
|
entity |
| Predicate | sungBy (singing voice in film) |
P14884
|
FINISHED |
| Object | Loren Allred |
—
|
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: Loren Allred | Statement: [Never Enough, sungBy (singing voice in film), Loren Allred]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sungBy (singing voice in film) Context triple: [Never Enough, sungBy (singing voice in film), Loren Allred]
-
A.
hasSingingVoiceType
Indicates the specific category or classification of a person's singing voice (such as soprano, tenor, etc.) in relation to that person.
-
B.
singsVoiceBy
Indicates that a singing performance is rendered using a particular voice or vocal part.
-
C.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
-
D.
sungByCharacter
chosen
Indicates that a song or musical piece is performed vocally by a specific character.
-
E.
sungByRole
Indicates that a song or musical piece is performed vocally by an entity in a specific role (e.g., lead singer, backing vocalist).
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:02 a.m.