Triple
T9622533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried Wagner |
E232378
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Siegfried |
E212191
|
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: Siegfried | Statement: [Siegfried Wagner, givenName, Siegfried]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegfried Context triple: [Siegfried Wagner, givenName, Siegfried]
-
A.
Siegfried
chosen
Siegfried is a masculine given name of Germanic origin, best known from the legendary dragon-slaying hero in Germanic and Norse mythology and later borne by figures such as the English war poet Siegfried Sassoon.
-
B.
Ingenried
Ingenried is a small rural municipality in the Weilheim-Schongau district of Bavaria in southern Germany.
-
C.
Sigurd
Sigurd is a masculine given name of Old Norse origin, historically associated with legendary heroes and figures in Scandinavian culture.
-
D.
Alberich
Alberich is a figure from Germanic and Norse legend, often depicted as a powerful dwarf or elf associated with treasure and magical knowledge.
-
E.
Sigurd Jorsalfar
Sigurd Jorsalfar is a historical drama by Norwegian writer Bjørnstjerne Bjørnson that centers on King Sigurd I of Norway and his crusade to the Holy Land.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad505588190b8c81ce09f1904ec |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189f7ea448190b9fe123589a9f3c5 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:10 p.m.