Triple
T28205250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narracott |
E716998
|
entity |
| Predicate | hasNotableRealBearer |
P458
|
FINISHED |
| Object | Jackie Narracott |
—
|
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: Jackie Narracott | Statement: [Narracott, hasNotableRealBearer, Jackie Narracott]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableRealBearer Context triple: [Narracott, hasNotableRealBearer, Jackie Narracott]
-
A.
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.
-
B.
hasNotableBearer
chosen
Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
-
C.
hasNotableFieldOfBearers
Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
-
D.
hasNotableBearerFamily
Indicates that a family is recognized for having at least one notable or distinguished member associated with it.
-
E.
hasNotableIdentity
Indicates that an entity is recognized for a specific, distinguished role, status, or identity that makes it notable.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: April 27, 2026, 10:35 p.m.