Triple
T2701232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunderbitch |
E59231
|
entity |
| Predicate | hasMusicalRoleOfBrittanyHoward |
P9640
|
FINISHED |
| Object | singer |
—
|
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: singer | Statement: [Thunderbitch, hasMusicalRoleOfBrittanyHoward, singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalRoleOfBrittanyHoward Context triple: [Thunderbitch, hasMusicalRoleOfBrittanyHoward, singer]
-
A.
hasArtistRole
chosen
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
B.
hasBandMember
Indicates that a musical group includes a specific individual as one of its members.
-
C.
hasFemaleVocalist
Indicates that the subject entity features or includes at least one female vocalist as a performer.
-
D.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
-
E.
performedAsSingerIn
Indicates that an entity took part in a performance specifically in the role of a singer within a particular event, production, or context.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4c8d34819094f5e4cbc5a4bb9b |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.