Triple
T18710041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Gregorio |
E457481
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ulu Grosbard |
—
|
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: Ulu Grosbard | Statement: [Rose Gregorio, spouse, Ulu Grosbard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulu Grosbard Context triple: [Rose Gregorio, spouse, Ulu Grosbard]
-
A.
Ulu Grosbard
chosen
Ulu Grosbard was a Belgian-born American film and theater director known for his nuanced, character-driven dramas such as "Straight Time" and "Georgia."
-
B.
Ely Landau
Ely Landau was an American film and television producer best known for founding the American Film Theatre, which adapted notable stage plays into feature films.
-
C.
Iby Fleischman
Iby Fleischman is an individual honored as a namesake of the Iby and Aladar Fleischman Faculty of Engineering, indicating a significant contribution or connection to engineering or higher education.
-
D.
Uriel Weinreich
Uriel Weinreich was a prominent linguist known for his pioneering work in Yiddish studies, language contact, and sociolinguistics.
-
E.
Azriel Rosenfeld
Azriel Rosenfeld was a pioneering computer scientist widely regarded as one of the founders of computer image analysis and digital image processing.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.