Triple
T20411090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cranberries |
E500586
|
entity |
| Predicate | vocalSignature |
P29850
|
FINISHED |
| Object | Dolores O’Riordan’s distinctive vocals |
—
|
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: Dolores O’Riordan’s distinctive vocals | Statement: [The Cranberries, vocalSignature, Dolores O’Riordan’s distinctive vocals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalSignature Context triple: [The Cranberries, vocalSignature, Dolores O’Riordan’s distinctive vocals]
-
A.
vocal
Indicates that an entity produces or is characterized by audible sounds, speech, or vocalizations.
-
B.
vocalConfiguration
Indicates how an entity’s vocal or sound-producing characteristics are arranged or specified in relation to another entity or context.
-
C.
vocalizationCharacteristic
chosen
Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
-
D.
vocalForm
Indicates the specific vocal or phonetic form in which something (such as a word, sound, or utterance) is expressed.
-
E.
vocalTraining
Indicates that one entity provides or engages in training aimed at improving another entity’s vocal or singing abilities.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.