Triple
T13615062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. Bernard Cohen |
E325290
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | I. Bernard |
E325290
|
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: I. Bernard | Statement: [I. Bernard Cohen, givenName, I. Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I. Bernard Context triple: [I. Bernard Cohen, givenName, I. Bernard]
-
A.
I. Bernard
chosen
I. Bernard is the given name of I. Bernard Cohen, a prominent American historian of science known especially for his scholarship on Isaac Newton.
-
B.
John Burningham
John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
-
C.
Ian Blume
Ian Blume is a film editor known for his work on the drama feature "Ben Is Back."
-
D.
Samuel Berger
Samuel Berger was an American political consultant and foreign policy advisor who served as National Security Advisor to President Bill Clinton in the late 1990s.
-
E.
J. G. Quintel
J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9cbc388190972e949324144d2f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.