Triple
T23181944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vince Everett |
E579484
|
entity |
| Predicate | formsProfessionalRelationshipWith |
P94073
|
FINISHED |
| Object | Peggy Van Alden |
—
|
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: Peggy Van Alden | Statement: [Vince Everett, formsProfessionalRelationshipWith, Peggy Van Alden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsProfessionalRelationshipWith Context triple: [Vince Everett, formsProfessionalRelationshipWith, Peggy Van Alden]
-
A.
partnerInProfession
chosen
Indicates that two or more entities share a professional partnership or collaborate together within the same occupation or field.
-
B.
basedOnWorkRelationship
Indicates that one entity is derived from, adapted from, or otherwise created on the basis of another underlying work.
-
C.
professionalRepresentation
Indicates that one entity formally acts on behalf of or advocates for another in a professional or official capacity.
-
D.
addressesRelationship
Indicates that one entity directs communication, remarks, or attention specifically toward another entity.
-
E.
correspondenceRelationshipWith
Indicates a relationship in which two entities are connected through the exchange or maintenance of correspondence (such as letters, messages, or other communications).
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6f770c81908622085693e37123 |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:05 p.m.