Triple
T25994009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Boone |
E646435
|
entity |
| Predicate | notabilitySource |
P110879
|
FINISHED |
| Object | sharing the Boone surname associated with Daniel Boone |
—
|
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: sharing the Boone surname associated with Daniel Boone | Statement: [Edward Boone, notabilitySource, sharing the Boone surname associated with Daniel Boone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notabilitySource Context triple: [Edward Boone, notabilitySource, sharing the Boone surname associated with Daniel Boone]
-
A.
notabilityScope
Indicates the domain, field, or context within which something is considered notable or significant.
-
B.
notabilityStatus
Indicates whether and how an entity is recognized as notable or significant within a given context or system.
-
C.
designerNotability
Indicates that an entity is notable or recognized specifically for its work or role as a designer.
-
D.
sharesNotabilityWith
chosen
Indicates that two entities are notable or recognized for the same or closely related reason, characteristic, or achievement.
-
E.
motherNotability
Indicates that an entity’s mother is notable or has significant recognition or prominence.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 22, 2026, 8:57 a.m.