Triple
T30077970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Power |
E764374
|
entity |
| Predicate | isAmbiguousBetweenPersons |
P71696
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [W. Power, isAmbiguousBetweenPersons, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmbiguousBetweenPersons Context triple: [W. Power, isAmbiguousBetweenPersons, yes]
-
A.
isAmbiguousIn
Indicates that something has multiple possible interpretations or meanings within a given context, making its intended sense unclear.
-
B.
hasAmbiguous
Indicates that the relationship or state is unclear, uncertain, or open to multiple interpretations.
-
C.
hasAmbiguousIdentity
Indicates that an entity’s identity is unclear, uncertain, or can be interpreted in multiple distinct ways.
-
D.
isAmbiguousName
chosen
Indicates that a name can refer to multiple distinct entities or interpretations, making its reference unclear without additional context.
-
E.
requiresAdditionalDisambiguation
Indicates that the referenced entity or relationship is not sufficiently specific and needs further clarification or distinguishing information to avoid confusion with similar entities or meanings.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d3f77b48190afef1a713cad3fa9 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:02 p.m.