Triple
T32363812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue (Beyoncé song) |
E826934
|
entity |
| Predicate | hasChildVocalsBy |
P44280
|
FINISHED |
| Object | Blue Ivy Carter |
—
|
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: Blue Ivy Carter | Statement: [Blue (Beyoncé song), hasChildVocalsBy, Blue Ivy Carter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildVocalsBy Context triple: [Blue (Beyoncé song), hasChildVocalsBy, Blue Ivy Carter]
-
A.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
B.
hasVocalCharacter
Indicates that an entity possesses a particular vocal quality, style, or characteristic in its sound or voice.
-
C.
hasAdditionalVocalElements
Indicates that an entity includes extra vocal components or embellishments beyond its primary or standard vocal parts.
-
D.
hasVocalPerformanceBy
chosen
Indicates that a vocal performance in a work or recording is performed by a specified person or group.
-
E.
hasBackwardVocals
Indicates that the subject uses or contains backward (reversed) vocal audio in relation to the object.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 1, 2026, 12:50 a.m.