Triple
T17224921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulf Behrens |
E418088
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Wulf |
E490841
|
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: [Wulf Behrens, hasGivenName, Wulf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wulf Context triple: [Wulf Behrens, hasGivenName, Wulf]
-
A.
Wulf
chosen
Wulf is the given name of Wulf Wolodia Grajonca, better known as the American singer and songwriter Bill Graham.
-
B.
Wulfgeat
Wulfgeat was an early medieval English individual known primarily as the recipient of a surviving letter, indicating some local status or significance in his community.
-
C.
Wulfram
Wulfram is an alternative spelling or variant form of the name Wolfram, which is associated with both a given name and the chemical element tungsten.
-
D.
Godric
Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
-
E.
Godwyn
Godwyn is a central character in Ken Follett’s historical novel "World Without End," whose life and actions significantly influence the political and social dynamics of the town of Kingsbridge.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de0a8dc819093d9c8fb4f80342c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675cc70881909cf39b2e229f5d1e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.