Triple
T11052884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnie Weisz |
E261300
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Weisz |
E805236
|
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: Weisz | Statement: [Minnie Weisz, familyName, Weisz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weisz Context triple: [Minnie Weisz, familyName, Weisz]
-
A.
Weisz
chosen
Weisz is a surname of Central or Eastern European origin borne by various notable individuals in fields such as science, the arts, and entertainment.
-
B.
Weitz
Weitz is a surname most prominently associated with American filmmakers Chris and Paul Weitz, known for movies such as "American Pie" and "About a Boy."
-
C.
Erik Weisz
Erik Weisz was the Hungarian-born illusionist and escape artist who became world-famous under the stage name Harry Houdini.
-
D.
Kloves
Kloves is the surname of American screenwriter and film director Steve Kloves, best known for adapting most of the Harry Potter novels for the screen.
-
E.
Jay Weiss
Jay Weiss is a New York real estate developer best known as the former husband of actress Kathleen Turner.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986c0df88190b29d71db5538450a |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa1c2d9c8190959e28ccef4e0f6d |
completed | April 18, 2026, 3:58 p.m. |
Created at: April 8, 2026, 9:26 p.m.