Triple
T30451515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana (musical) |
E774722
|
entity |
| Predicate | roleOfJeannaDeWaal |
P173417
|
FINISHED |
| Object | Diana, Princess of Wales |
—
|
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: Diana, Princess of Wales | Statement: [Diana (musical), roleOfJeannaDeWaal, Diana, Princess of Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJeannaDeWaal Context triple: [Diana (musical), roleOfJeannaDeWaal, Diana, Princess of Wales]
-
A.
roleOfJennifer Morris
Indicates that Jennifer Morris holds or performs a particular role, position, or function in relation to another entity or context.
-
B.
roleOfIrèneJacob
Indicates that an entity holds the role or character portrayed by Irène Jacob in a work or context.
-
C.
roleOfJeanaYeager
Indicates that the specified role or function is held or performed by Jeana Yeager.
-
D.
JanetWeissRole
Indicates that an entity has the role or character of Janet Weiss in a given context or work.
-
E.
roleOfDianeSimmons
Indicates that an entity holds the role, position, or function associated with Diane Simmons.
- 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_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 29, 2026, 8:09 p.m.