Triple
T259290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor |
E5505
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Alienor |
E23800
|
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: Alienor | Statement: [Eleanor, hasVariant, Alienor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alienor Context triple: [Eleanor, hasVariant, Alienor]
-
A.
Eleanor
Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
-
B.
Eleanor
Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
-
C.
Isabella of Angoulême
Isabella of Angoulême was a French noblewoman who became Queen consort of England as the second wife of King John and later played a significant political role in both England and France.
-
D.
Cristina of England
Cristina of England was an 11th-century English princess and nun, daughter of Edward the Exile and member of the royal House of Wessex.
-
E.
Eleanor of Aquitaine
chosen
Eleanor of Aquitaine was a powerful 12th-century queen consort of both France and England and one of the most influential and wealthy women of the Middle Ages.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d71a10c8190894c86e7a67c5974 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3bc1ff0f08190b5d6e0c46ff81145 |
completed | March 1, 2026, 4:10 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.