Triple
T16263675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achille-Cléophas Flaubert |
E394817
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cléophas |
E1070844
|
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: Cléophas | Statement: [Achille-Cléophas Flaubert, givenName, Cléophas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cléophas Context triple: [Achille-Cléophas Flaubert, givenName, Cléophas]
-
A.
Cleophas
chosen
Cleophas is a biblical figure traditionally identified with Cleopas, one of the early followers of Jesus mentioned in the New Testament.
-
B.
Cleopas
Cleopas is a figure from the New Testament, known as one of the disciples who encountered the risen Jesus on the road to Emmaus.
-
C.
Matthaeus
Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
-
D.
Josèphe
Josèphe is the given name of Marie Josèphe Rose Tascher de La Pagerie, better known as Empress Joséphine, the first wife of Napoleon Bonaparte and the first Empress of the French.
-
E.
Cydamus
Cydamus is the ancient Roman name for the oasis town now known as Ghadamès in western Libya.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c672248190a4261be4696d52c5 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b5f3a8819083128cf2b90cfd84 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.