Triple
T37696487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vigil of the Princes for King George V in 1936 |
E938942
|
entity |
| Predicate | roleOfParticipants |
P184599
|
FINISHED |
| Object | sons of King George V |
—
|
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: sons of King George V | Statement: [Vigil of the Princes for King George V in 1936, roleOfParticipants, sons of King George V]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfParticipants Context triple: [Vigil of the Princes for King George V in 1936, roleOfParticipants, sons of King George V]
-
A.
roleOfPeopleOnIt
Indicates the specific roles or functions that people have in relation to a particular object, event, or context.
-
B.
involvesPartyRole
chosen
Indicates that a situation, event, or agreement includes a participant fulfilling a specific role or function within that context.
-
C.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
D.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
E.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
- F. None of above.
Provenance (3 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:18 p.m.