Triple
T799051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Philip, Duke of Edinburgh |
E17086
|
entity |
| Predicate | reignAsConsortStart |
P19180
|
FINISHED |
| Object | 1952-02-06 |
—
|
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: 1952-02-06 | Statement: [Prince Philip, Duke of Edinburgh, reignAsConsortStart, 1952-02-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsConsortStart Context triple: [Prince Philip, Duke of Edinburgh, reignAsConsortStart, 1952-02-06]
-
A.
reignAsEmpressConsortBegan
Indicates the point in time when an individual began their tenure or role as an empress consort.
-
B.
reignAs
Indicates that an entity holds and exercises ruling authority or sovereignty over a domain or people for a period of time.
-
C.
reignStart
Indicates the date or point in time when an entity’s period of ruling or governing authority begins.
-
D.
becameCrownPrincessOn
Indicates the date on which an individual assumed the title and role of crown princess.
-
E.
successorAsQueenConsort
Indicates that one individual became the next queen consort following another in a royal succession.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b4d9548190aad5fdf1211cf8cd |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a5122a008190b0c621b7bc588d41 |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5bed20c81909ecc28bf42594e72 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:38 p.m.