Triple
T10866055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huw Owen |
E256531
|
entity |
| Predicate | isAmbiguousNameForMultiplePeople |
P71696
|
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: [Huw Owen, isAmbiguousNameForMultiplePeople, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAmbiguousNameForMultiplePeople Context triple: [Huw Owen, isAmbiguousNameForMultiplePeople, true]
-
A.
isAmbiguousName
chosen
Indicates that a name can refer to multiple distinct entities or interpretations, making its reference unclear without additional context.
-
B.
hasUncertainOriginalName
Indicates that the entity’s original name is not known with certainty or is subject to doubt or ambiguity.
-
C.
isPersonalName
Indicates that the value is a personal name identifying an individual person.
-
D.
isCommonAsMiddleName
Indicates that a given name is frequently used as a middle name rather than as a first or last name.
-
E.
isCommonAsFirstName
Indicates that the referenced name is frequently used as a first (given) name within a specified population or context.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516cebe881909ed358a7641f6a12 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.