Triple
T31373595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Donaldson |
E800231
|
entity |
| Predicate | relationshipTypeWith Patrick Zweig |
P207415
|
FINISHED |
| Object | former doubles partners |
—
|
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: former doubles partners | Statement: [Art Donaldson, relationshipTypeWith Patrick Zweig, former doubles partners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Patrick Zweig Context triple: [Art Donaldson, relationshipTypeWith Patrick Zweig, former doubles partners]
-
A.
relationshipToPatrick Zariakas
Indicates that one entity has a specified personal or social relationship to Patrick Zariakas.
-
B.
hasRelationshipTypeWith Frank Drebin
Indicates that there exists a specific type of relationship between an entity and Frank Drebin.
-
C.
relationshipTypeWith Sergio Marquina
Indicates the specific nature or category of relationship that an entity has with Sergio Marquina.
-
D.
relationshipTypeWithJeffSadecki
Indicates the specific nature or category of relationship that an entity has with Jeff Sadecki.
-
E.
hasRelationshipTypeWith Alexandra Bergson
Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:18 p.m.