Triple
T16670607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sixx:A.M. |
E405096
|
entity |
| Predicate | roleOfNikkiSixx |
P124203
|
FINISHED |
| Object | bassist |
—
|
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: bassist | Statement: [Sixx:A.M., roleOfNikkiSixx, bassist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfNikkiSixx Context triple: [Sixx:A.M., roleOfNikkiSixx, bassist]
-
A.
workRoleInRocknRolla
Indicates the specific role or function an entity has within the context of the work "RocknRolla."
-
B.
roleInAtomicBlonde
Indicates that an entity has a specific role or participation in the film "Atomic Blonde."
-
C.
isFrontmanOf
Indicates that a person serves as the lead singer or primary representative performer of a band or musical group.
-
D.
roleInWatchmen
Indicates that one entity has a specific role or function within the context of the work "Watchmen" in relation to the other entity.
-
E.
roleOfRayManzarek
Indicates the specific role or function that Ray Manzarek holds or performs in relation to another entity or 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca079ec819090b356c86a9241cc |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:18 a.m.