Triple
T2844872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raúl |
E62559
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Raoul |
E143826
|
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: Raoul | Statement: [Raúl, hasVariant, Raoul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raoul Context triple: [Raúl, hasVariant, Raoul]
-
A.
Raoul
chosen
Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
-
B.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
C.
Raoul de Bragelonne
Raoul de Bragelonne is a fictional nobleman and soldier in Alexandre Dumas’ d’Artagnan Romances, best known as the devoted son of Athos and the title character of the novel "The Vicomte de Bragelonne."
-
D.
Fadrique
Fadrique is a Spanish given name historically borne by several notable nobles and military leaders, particularly within the Álvarez de Toledo family.
-
E.
John Tristan, Count of Valois
John Tristan, Count of Valois, was a 13th-century French prince and crusader, the son of King Louis IX of France who died during the Eighth Crusade.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1b58c88190b45d8c5a76dc52ac |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d850b481909850ff5e89021824 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.