Triple
T15287712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leopold Joseph von Daun |
E365444
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Daun |
E365444
|
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: Daun | Statement: [Leopold Joseph von Daun, familyName, Daun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daun Context triple: [Leopold Joseph von Daun, familyName, Daun]
-
A.
Daun
chosen
Daun is the noble family name of Leopold Joseph von Daun, an 18th-century Austrian field marshal noted for his role in the Seven Years' War.
-
B.
Tanum
Tanum is a municipality in western Sweden’s Västra Götaland County, known for its UNESCO-listed Bronze Age rock carvings at Tanum World Heritage Site.
-
C.
Djau
Djau was an ancient Egyptian official of the Sixth Dynasty, known as a high-ranking vizier and relative of Queen Ankhesenpepi I.
-
D.
Tayauh
Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
-
E.
Wetar-Dai
Wetar-Dai is an Austronesian language variety spoken on Wetar Island in Indonesia, closely related to other Central Malayo-Polynesian languages.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.