Triple
T30863784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crumwell |
E786135
|
entity |
| Predicate | hasNotableBearerViaVariant |
P82475
|
FINISHED |
| Object | Oliver Cromwell |
—
|
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: Oliver Cromwell | Statement: [Crumwell, hasNotableBearerViaVariant, Oliver Cromwell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBearerViaVariant Context triple: [Crumwell, hasNotableBearerViaVariant, Oliver Cromwell]
-
A.
hasNotableBearer
Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
-
B.
hasNotableBearerForm
chosen
Indicates that a particular form or variant of something is notably associated with a specific bearer or holder.
-
C.
hasNotableBearerStyle
Indicates that a particular style, form, or variant is notably associated with a specific bearer (such as a person, group, or entity) as a distinguishing characteristic.
-
D.
hasNotableBearersType
Indicates that an entity has notable bearers belonging to a specified type or category.
-
E.
hasNotableSingleBearer
Indicates that the relationship holds when a name, title, or identifier is notably associated with exactly one specific bearer, rather than shared among many.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
Created at: April 29, 2026, 8:47 p.m.