Triple
T27302126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dryden Wheeler |
E688939
|
entity |
| Predicate | associatedBySurnameWith |
P13741
|
FINISHED |
| Object | Wheeler Dryden |
—
|
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: Wheeler Dryden | Statement: [Dryden Wheeler, associatedBySurnameWith, Wheeler Dryden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBySurnameWith Context triple: [Dryden Wheeler, associatedBySurnameWith, Wheeler Dryden]
-
A.
associatedSurname
Indicates that one entity has a surname that is linked or connected to another entity, such as a person, family, or name record.
-
B.
hasLastNameInCommonWith
chosen
Indicates that two entities share the same last name.
-
C.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
-
D.
sharesSurnameWithMany
Indicates that an entity has the same surname as a large number of other entities.
-
E.
correspondsToSurname
Indicates that one entity is the surname or family name associated with, matching, or representing the other 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ffdf47d9608190830ca23d9cef6409 |
completed | May 10, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ffdf00e2b4819082dd5cb78f316baf |
completed | May 10, 2026, 1:27 a.m. |
Created at: April 27, 2026, 11:22 a.m.