Triple
T38545351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel (mute version) |
E924948
|
entity |
| Predicate | songAssociatedWithVoiceTrade |
P191183
|
FINISHED |
| Object | Poor Unfortunate Souls |
—
|
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: Poor Unfortunate Souls | Statement: [Ariel (mute version), songAssociatedWithVoiceTrade, Poor Unfortunate Souls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songAssociatedWithVoiceTrade Context triple: [Ariel (mute version), songAssociatedWithVoiceTrade, Poor Unfortunate Souls]
-
A.
singsTo
Indicates that one entity performs singing directed toward or for another entity.
-
B.
musicMarket
Indicates a relationship where an entity participates in, targets, or is associated with a particular market or commercial context for music.
-
C.
melodyUsedFor
Indicates that one melody is employed or applied for a particular purpose, context, or use in relation to another entity.
-
D.
singsVoiceBy
Indicates that a singing performance is rendered using a particular voice or vocal part.
-
E.
musicUsed
Indicates that one entity makes use of or incorporates another entity as music, such as in a performance, production, or media context.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.