Triple
T19330119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warenar |
E483464
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Warenar |
—
|
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: Warenar | Statement: [Warenar, mainCharacter, Warenar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warenar Context triple: [Warenar, mainCharacter, Warenar]
-
A.
Warenar
chosen
Warenar is a Dutch Golden Age comedic play, best known as one of the major works of playwright and poet Pieter Corneliszoon Hooft.
-
B.
Waronker
Waronker is a surname most notably associated with American music industry figures, including record producers and executives.
-
C.
Lewarde
Lewarde is a commune in northern France best known for its historic coal mining heritage and the large mining museum located there.
-
D.
Weyarn
Weyarn is a small Bavarian municipality in southern Germany, located in the Alpine foothills and known for its historic monastery and rural character.
-
E.
Wonnar
Wonnar is an alternative name for the Wonnarua, an Aboriginal Australian people traditionally associated with the Hunter Valley region of New South Wales.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616412bcc81909bb34d3cf5363129 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.