Triple
T22621923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Menzel |
E558303
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Menzel |
—
|
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: Menzel | Statement: [Donald Menzel, familyName, Menzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menzel Context triple: [Donald Menzel, familyName, Menzel]
-
A.
Menzel
Menzel is a locality or district that forms part of the town of Rüthen in North Rhine-Westphalia, Germany.
-
B.
Menzel
chosen
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
C.
Menzel Horr
Menzel Horr is a town in northeastern Tunisia known for its agricultural surroundings and its location within the coastal Nabeul region.
-
D.
Menzel Temime
Menzel Temime is a coastal town in northeastern Tunisia known for its agricultural production and proximity to Mediterranean beaches on the Cap Bon Peninsula.
-
E.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e39959481909e0ae67379435f95 |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 3 p.m.