Triple
T6043611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Tulliver |
E134609
|
entity |
| Predicate | collaborationCharacteristic |
P42125
|
FINISHED |
| Object | long-term creative partnership |
—
|
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: long-term creative partnership | Statement: [Barbara Tulliver, collaborationCharacteristic, long-term creative partnership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collaborationCharacteristic Context triple: [Barbara Tulliver, collaborationCharacteristic, long-term creative partnership]
-
A.
collaborationAspect
chosen
Indicates a specific characteristic, dimension, or feature of how entities collaborate or work together.
-
B.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
C.
isCollaboration
Indicates that two or more entities are jointly working together toward a shared goal or producing something in partnership.
-
D.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
-
E.
establishedInCollaborationWith
Indicates that something was created, founded, or set up jointly through cooperative effort between two or more parties.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e2b1148190908c4dc43abee266 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.