Triple
T30451517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana (musical) |
E774722
|
entity |
| Predicate | roleOfRoeHartrampf |
P173750
|
FINISHED |
| Object | Prince Charles |
—
|
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: Prince Charles | Statement: [Diana (musical), roleOfRoeHartrampf, Prince Charles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfRoeHartrampf Context triple: [Diana (musical), roleOfRoeHartrampf, Prince Charles]
-
A.
reproductiveRole
Indicates the specific function or part an entity plays in biological reproduction within a reproductive process or system.
-
B.
hasRohe
Indicates a relationship where something is associated with, belongs to, or is located within a specific region or area (rohe).
-
C.
eraRole
Indicates the specific role, function, or capacity an entity has within a particular historical or temporal era.
-
D.
roleDuringHusbandBan
Indicates that an entity holds or performs a specific role during the period in which a husband is subject to a ban.
-
E.
endedRoleAsKimHughes
Indicates that an entity stopped or concluded their role or portrayal as Kim Hughes.
- 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_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 29, 2026, 8:09 p.m.