Triple
T1669482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Rogers |
E36090
|
entity |
| Predicate | isAmbiguous |
P9778
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [James Rogers, isAmbiguous, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmbiguous Context triple: [James Rogers, isAmbiguous, true]
-
A.
hasUncertainBoundary
Indicates that the boundary or extent of something is not clearly defined, fixed, or precisely known.
-
B.
hasUncertainty
chosen
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
C.
isExplicit
Indicates that something is stated clearly and directly, leaving no room for ambiguity or implied interpretation.
-
D.
hasSemanticRestriction
Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
-
E.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abc0e8d5648190915ff689c7ca42bc |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69a907d331748190963d4ab1a2741537 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.