Triple
T1943309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Franklin |
E42003
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Franklin |
E58775
|
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: Franklin | Statement: [William Franklin, familyName, Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin Context triple: [William Franklin, familyName, Franklin]
-
A.
Franklin
Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
-
B.
Franklin
chosen
Franklin is a common English surname borne by numerous notable individuals across fields such as politics, science, and the arts.
-
C.
Benjamin Franklin
Benjamin Franklin was a leading American polymath of the 18th century, renowned as a statesman, inventor, writer, and key figure in the American Enlightenment and the founding of the United States.
-
D.
Philo Delano
Philo Delano was a member of the prominent Delano family, an American lineage known for its historical influence and connections to notable political figures.
-
E.
Adams
Adams is a common English surname borne by numerous notable figures in fields such as politics, literature, science, and entertainment.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb2fe04688190aa8461ba090c93a0 |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbb9b594819096747b580ec18fee |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.