Triple
T10151725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zankel Hall |
E232658
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Judy Zankel |
E232658
|
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: Judy Zankel | Statement: [Zankel Hall, namedAfter, Judy Zankel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy Zankel Context triple: [Zankel Hall, namedAfter, Judy Zankel]
-
A.
Judy Zankel
chosen
Judy Zankel was a philanthropist and arts patron whose support and legacy are honored through the naming of Zankel Hall at Carnegie Hall.
-
B.
Judy Levitt
Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
-
C.
Pamela Ziegelman
Pamela Ziegelman is a film editor best known for her work on the animated feature "The Emperor's New Groove."
-
D.
Dorothy Herzka
Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
-
E.
Bonnie Retzkin
Bonnie Retzkin is a figure skating coach best known for having coached American Olympic and World medalist Emily Hughes.
- 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_69ca84885e48819088a31b127cf44904 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec361c7c8190b8fd841d728d5bbe |
completed | April 2, 2026, 4:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fce236481909387829c7cf311a4 |
completed | April 9, 2026, 7:05 a.m. |
Created at: March 30, 2026, 9:08 p.m.