Triple
T29761413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Caunt |
E753780
|
entity |
| Predicate | hasAlternativeNamesakeRole |
P181147
|
FINISHED |
| Object | possible eponym of Big Ben |
—
|
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: possible eponym of Big Ben | Statement: [Benjamin Caunt, hasAlternativeNamesakeRole, possible eponym of Big Ben]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeNamesakeRole Context triple: [Benjamin Caunt, hasAlternativeNamesakeRole, possible eponym of Big Ben]
-
A.
hasAlternativeToponymy
Indicates that an entity is associated with one or more alternative place names or toponyms used to refer to the same geographic location.
-
B.
hasAlternativeFamilyName
Indicates that an entity is associated with an additional or variant family name besides its primary family name.
-
C.
hasNamesakeRoleFor
Indicates that one entity holds a role or position that is named after, or serves as a namesake for, another entity.
-
D.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
E.
hasAlternativeNameForSameCity
Indicates that one city name is an alternative or variant name referring to the same city as another name.
- F. None of above. chosen
Provenance (4 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
| PDg | Predicate description generation | batch_69f762651e088190baa21f25378a6065 |
completed | May 3, 2026, 2:57 p.m. |
Created at: April 28, 2026, 8:33 p.m.