Triple
T24287917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnes |
E605722
|
entity |
| Predicate | hasProfessionalRelationshipWith |
P155703
|
FINISHED |
| Object | Joseph Reed |
—
|
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: Joseph Reed | Statement: [Barnes, hasProfessionalRelationshipWith, Joseph Reed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalRelationshipWith Context triple: [Barnes, hasProfessionalRelationshipWith, Joseph Reed]
-
A.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
B.
hasProfessionalConflictWith
Indicates a relationship in which two parties are in opposition or disagreement in a professional context, such as competing interests, roles, or obligations.
-
C.
partnerInProfession
Indicates that two or more entities share a professional partnership or collaborate together within the same occupation or field.
-
D.
hasCloseProfessionalAssociationWith
Indicates a strong, ongoing professional relationship or collaboration between two entities, typically involving frequent interaction or shared work responsibilities.
-
E.
worksInCloseRelationshipWith
Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f57a9a08190b183879ff76071d0 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 18, 2026, 12:08 a.m.