Triple
T25823744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Too |
E650468
|
entity |
| Predicate | roleOfPersonMentioned |
P12885
|
FINISHED |
| Object | Vice President of the United States |
—
|
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: Vice President of the United States | Statement: [Tyler Too, roleOfPersonMentioned, Vice President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfPersonMentioned Context triple: [Tyler Too, roleOfPersonMentioned, Vice President of the United States]
-
A.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
B.
namedPersonRole
chosen
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
C.
socialRoleIn
Indicates that one entity holds a particular social role, status, or position within the context or framework defined by another entity.
-
D.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
E.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6019375888190a8f71cc7a978a3b7 |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 7:31 a.m.