Triple
T27146693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayoress of Arnhem |
E681968
|
entity |
| Predicate | hasAlternativeRoleName |
P110696
|
FINISHED |
| Object | spouse of the Mayor of Arnhem |
—
|
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: spouse of the Mayor of Arnhem | Statement: [Mayoress of Arnhem, hasAlternativeRoleName, spouse of the Mayor of Arnhem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeRoleName Context triple: [Mayoress of Arnhem, hasAlternativeRoleName, spouse of the Mayor of Arnhem]
-
A.
hasAlternativeFamilyName
Indicates that an entity is associated with an additional or variant family name besides its primary family name.
-
B.
hasAlternativeReferent
Indicates that an entity can also be referred to or identified by an alternative name, label, or reference.
-
C.
hasAlternativeProfile
Indicates that an entity is associated with another profile that serves as an alternative or secondary representation of it.
-
D.
haveAlternativeTitle
chosen
Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
-
E.
hasTitleHolderAlternativeName
Indicates that an entity serving as a title holder is known by an alternative or additional name.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 9:11 a.m.