Triple
T2933730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf |
E79214
|
entity |
| Predicate | derivedFromElement |
P909
|
FINISHED |
| Object | wulf |
E37126
|
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: wulf | Statement: [Rudolf, derivedFromElement, wulf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: wulf Context triple: [Rudolf, derivedFromElement, wulf]
-
A.
Botwulf
Botwulf is an alternate name for Saint Botolph, a 7th-century English abbot venerated as the patron saint of travelers and various East Anglian towns.
-
B.
Wolff
Wolff is a German surname borne by numerous notable individuals across fields such as philosophy, science, and the arts.
-
C.
Wilk
Wilk was the wartime pseudonym of Aleksander Krzyżanowski, a Polish military officer and commander in the Home Army (Armia Krajowa) during World War II.
-
D.
Wilfred
chosen
Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
-
E.
WÜ
WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983b65f881909b8b7d3dc5c224fd |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0867796808190a026c165e759f3ea |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:56 p.m.