Triple
T24311633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannibal Hamlin family |
E612687
|
entity |
| Predicate | notableForOfficeHeldByMember |
P112779
|
FINISHED |
| Object | 15th Vice President of the United States |
—
|
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: 15th Vice President of the United States | Statement: [Hannibal Hamlin family, notableForOfficeHeldByMember, 15th Vice President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForOfficeHeldByMember Context triple: [Hannibal Hamlin family, notableForOfficeHeldByMember, 15th Vice President of the United States]
-
A.
notableFormerOfficeHolderRole
Indicates that an entity previously held a particular official position or role that is considered notable.
-
B.
notableOfficeHolder
Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
-
C.
notableTitleHeld
Indicates that an entity has held a distinguished or noteworthy title, rank, or official position.
-
D.
hasMemberWhoHeldOffice
chosen
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
E.
memberHeldOfficeFrom
Indicates that a member began holding a particular office or position starting from a specified date or time.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922a6afc8190b02cc2d185d15a45 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:42 a.m.