Triple
T30451519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana (musical) |
E774722
|
entity |
| Predicate | roleOfJudyKaye |
P174311
|
FINISHED |
| Object | Queen Elizabeth II |
—
|
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: Queen Elizabeth II | Statement: [Diana (musical), roleOfJudyKaye, Queen Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJudyKaye Context triple: [Diana (musical), roleOfJudyKaye, Queen Elizabeth II]
-
A.
characterPlayedByJudyDavis
Indicates that a given character is portrayed or acted by Judy Davis.
-
B.
roleOfJoyceKinney
Indicates that the specified role or character is associated with or portrayed by Joyce Kinney.
-
C.
businessRoleOfJudyGarland
Indicates the specific business-related role or capacity that Judy Garland holds in relation to another entity or activity.
-
D.
roleOfCathy Hughes
Indicates the specific position, function, or capacity that Cathy Hughes holds or performs in relation to another entity or context.
-
E.
roleOfJennifer Morris
Indicates that Jennifer Morris holds or performs a particular role, position, or function in relation to another entity or context.
- 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 29, 2026, 8:09 p.m.