Triple
T29000059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucero |
E736273
|
entity |
| Predicate | roleOfRick Steff |
P168641
|
FINISHED |
| Object | keyboards |
—
|
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: keyboards | Statement: [Lucero, roleOfRick Steff, keyboards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfRick Steff Context triple: [Lucero, roleOfRick Steff, keyboards]
-
A.
roleOfRichardHell
Indicates that the subject holds or plays the role associated with Richard Hell in a given context.
-
B.
roleOfSteveStevens
Indicates that an entity holds the specific role or function associated with Steve Stevens in relation to another entity.
-
C.
roleOfBobRock
Indicates that the specified role or function is held or performed by Bob Rock.
-
D.
roleInMisfits
Indicates that an entity has a specific role or function within a group, project, or collection referred to as "Misfits."
-
E.
roleOfStevieWright
Indicates the specific role, position, or function that Stevie Wright 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 28, 2026, 9:34 a.m.