Triple
T21366324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Rabot |
E526923
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Charles Rabot |
—
|
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: Charles Rabot | Statement: [Charles Rabot, hasNameInLanguage, Charles Rabot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Rabot Context triple: [Charles Rabot, hasNameInLanguage, Charles Rabot]
-
A.
Charles Rabot
chosen
Charles Rabot was a French geographer, explorer, and glaciologist known for his pioneering expeditions in Arctic regions and contributions to polar research.
-
B.
Henri Étiévant
Henri Étiévant was a French actor known for his supporting roles in early 20th-century French cinema, including the film "Princesse Tam-Tam."
-
C.
Urbain Fabre
Urbain Fabre is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables."
-
D.
Émile Amélineau
Émile Amélineau was a French Egyptologist and Coptologist known for his pioneering but controversial late-19th-century excavations and studies of early Egyptian and Coptic sites.
-
E.
Eugène Ferret
Eugène Ferret was an architect best known for designing the historic Sanremo Casino in Italy.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06fbe108190a07a46824b96a963 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:09 p.m.