Triple
T9198072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citibank |
E220765
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Samuel Osgood |
E93115
|
NE 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: Samuel Osgood | Statement: [Citibank, foundedBy, Samuel Osgood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Osgood Context triple: [Citibank, foundedBy, Samuel Osgood]
-
A.
Samuel Osgood
chosen
Samuel Osgood was an American merchant, Revolutionary War officer, and statesman who became the first Postmaster General of the United States under the Constitution.
-
B.
Joe Willet
Joe Willet is a good-natured but somewhat naive young man who appears as one of the central characters in Charles Dickens’s historical novel "Barnaby Rudge."
-
C.
Chauncey Goss
Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
-
D.
Samuel Livermore
Samuel Livermore was an American lawyer and politician from New Hampshire who served as a U.S. senator and an early leader in the federal government.
-
E.
James Warren
James Warren was an American patriot leader and politician from Massachusetts who played a significant role in the early stages of the American Revolution.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd87f50e88190940e73af1deda747 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c3b1af48190bb03af15232c510d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:25 p.m.