Triple
T21301988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fine Hall |
E525088
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ralph Fine |
—
|
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: Ralph Fine | Statement: [Fine Hall, namedAfter, Ralph Fine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Fine Context triple: [Fine Hall, namedAfter, Ralph Fine]
-
A.
Ralph Fine
chosen
Ralph Fine is the namesake of Fine Hall, the mathematics building at Princeton University.
-
B.
Ralph Stein
Ralph Stein was an American cartoonist, illustrator, and author best known for his work on the comic strip "Popeye" and for his books on World War II and automobiles.
-
C.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
D.
Eddie Felson
Eddie Felson is a fiercely ambitious, self-destructive pool hustler whose rise and fall in the world of high-stakes billiards explores themes of pride, integrity, and redemption.
-
E.
Ralph Levy
Ralph Levy was a film and television director best known for his work on mid-20th-century American comedies, including the movie "Bedtime Story."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385cd6308190bf300494833b048f |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.