Triple
T16154231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubin Museum of Art |
E391994
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Shelly Rubin |
—
|
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: Shelly Rubin | Statement: [Rubin Museum of Art, namedAfter, Shelly Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shelly Rubin Context triple: [Rubin Museum of Art, namedAfter, Shelly Rubin]
-
A.
Shelly Rubin
chosen
Shelly Rubin is an American philanthropist and arts patron best known as a co-founder of the Rubin Museum of Art in New York City.
-
B.
Risa Shapiro
Risa Shapiro is a film producer best known for her work on the 1993 crime thriller "Kalifornia."
-
C.
Shelly Kaplow
Shelly Kaplow is a down-on-his-luck casino "cooler" whose mere presence is believed to jinx gamblers in the 2003 film *The Cooler*.
-
D.
Shelly Pfefferman
Shelly Pfefferman is a central character in the television series "Transparent," portrayed as the outspoken, emotionally complex matriarch of the Pfefferman family.
-
E.
Jacqueline Shapiro
Jacqueline Shapiro is known primarily as the wife of American screenwriter and producer Ernest Lehman.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:01 a.m.