Triple
T25930006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nim |
E653412
|
entity |
| Predicate | hasHistoricalAnalysisBy |
P62814
|
FINISHED |
| Object | Charles L. Bouton |
—
|
NE NERFINISHED |
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: Charles L. Bouton | Statement: [Nim, hasHistoricalAnalysisBy, Charles L. Bouton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalAnalysisBy Context triple: [Nim, hasHistoricalAnalysisBy, Charles L. Bouton]
-
A.
usesHistoricalAnalysis
Indicates that an entity employs historical analysis as a method or approach to understand, evaluate, or explain something.
-
B.
hasHistoricalData
Indicates that an entity possesses recorded information or records about past events, states, or values relevant to it.
-
C.
hasHistoricalDetail
Indicates that something includes or is associated with specific information about past events, contexts, or developments.
-
D.
hasAnalysis
chosen
Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
-
E.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 22, 2026, 8:36 a.m.