Triple
T16672404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Precision |
E405136
|
entity |
| Predicate | roleIn88FingersLouie |
P42172
|
FINISHED |
| Object | guitarist |
—
|
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: guitarist | Statement: [Dan Precision, roleIn88FingersLouie, guitarist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleIn88FingersLouie Context triple: [Dan Precision, roleIn88FingersLouie, guitarist]
-
A.
playsInRole
chosen
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
B.
playRoleIn
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
-
C.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
D.
roleInRhyme
Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
-
E.
playsAs
Indicates that one entity performs, portrays, or assumes the role, character, or persona of another entity.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.