Triple
T3003127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darryl |
E81835
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Darel |
E317391
|
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: Darel | Statement: [Darryl, hasVariant, Darel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darel Context triple: [Darryl, hasVariant, Darel]
-
A.
Darek
chosen
Darek is a given name, typically a variant spelling of Derek used in various European countries.
-
B.
Nelion
Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
-
C.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
D.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
E.
Dweik
Dweik is a family name most notably associated with Palestinian politician Aziz Dweik, a senior Hamas figure and former speaker of the Palestinian Legislative Council.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1371c481909e214234afed1a65 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eee3e7dc8190941407d73fc56e0f |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.