Triple
T11334764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Fields |
E268441
|
entity |
| Predicate | endTimeOfRole_Regine Hunter |
P98568
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Kim Fields, endTimeOfRole_Regine Hunter, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfRole_Regine Hunter Context triple: [Kim Fields, endTimeOfRole_Regine Hunter, 1998]
-
A.
endTimeOfPosition Electress consort of Brandenburg
Indicates the point in time at which a person’s tenure as Electress consort of Brandenburg comes to an end.
-
B.
endTimeAsDuchessOfCourland
Indicates the point in time at which an individual’s tenure or role as Duchess of Courland comes to an end.
-
C.
endTimeOfPositionCrownPrincess
Indicates the point in time when an individual's tenure or role as Crown Princess comes to an end.
-
D.
endTimeOfPositionEmpressConsort
Indicates the point in time when an individual's tenure in the role of Empress Consort comes to an end.
-
E.
barbaraStanwyckRole
Indicates that the subject is a role or character portrayed by Barbara Stanwyck.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9ff62c88190a089dd84e2ac1d17 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:33 p.m.