Triple
T16672405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Precision |
E405136
|
entity |
| Predicate | roleInRiseAgainst |
P124209
|
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, roleInRiseAgainst, guitarist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRiseAgainst Context triple: [Dan Precision, roleInRiseAgainst, guitarist]
-
A.
roleInRevolt
Indicates the specific function, position, or level of participation an entity had within a particular revolt or uprising.
-
B.
roleInWarOrConflict
Indicates the specific function, position, or involvement an entity has within a particular war or conflict.
-
C.
roleInMutiny
Indicates that one entity participated in a mutiny with a specific role or capacity in that rebellious action.
-
D.
roleInRepublic
Indicates that an entity holds or plays a specific role or function within a republic or republican system.
-
E.
roleBeforeQuietRevolution
Indicates that an entity held a particular role or status prior to the Quiet Revolution period.
- 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_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
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, 5:19 a.m.