Triple
T31884790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion of Vienna |
E813978
|
entity |
| Predicate | hasFullNameOfBearer |
P102899
|
FINISHED |
| Object | Nat Lofthouse |
—
|
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: Nat Lofthouse | Statement: [Lion of Vienna, hasFullNameOfBearer, Nat Lofthouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullNameOfBearer Context triple: [Lion of Vienna, hasFullNameOfBearer, Nat Lofthouse]
-
A.
hasBearerFullName
chosen
Indicates that an entity (the bearer) is associated with a complete personal name string.
-
B.
hasGivenNameOfBearer
Indicates that a bearer (such as a person or entity) has a specific given (first) name.
-
C.
bearerPersonalName
Indicates that a personal name is borne or held by a particular entity (the bearer).
-
D.
notableBearerFullName
Indicates that a full personal name is that of a notable or well-known bearer associated with the referenced entity.
-
E.
hasSurnameBearer
Indicates that a particular surname is borne or carried by a specific person or entity.
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 30, 2026, 11:57 p.m.