Triple
T20706838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Randulf Bull |
E508924
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Randulf |
—
|
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: Randulf | Statement: [Johan Randulf Bull, givenName, Randulf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randulf Context triple: [Johan Randulf Bull, givenName, Randulf]
-
A.
Randulf
chosen
Randulf is a masculine given name of Germanic origin, typically interpreted to mean "shield-wolf" or "strong wolf."
-
B.
Wulfert
Wulfert is a surname of likely European origin associated with individuals such as Natalia Sergeyevna Wulfert.
-
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.
Godfrey
Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
-
E.
Godfrey
Godfrey is an American comedian and actor known for his stand-up work and film roles, including a prominent appearance in the comedy movie "Soul Plane."
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1917ce08190a54720d4d5b0a02c |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:13 p.m.