Triple
T20067583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariane |
E499648
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Damis |
—
|
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: Damis | Statement: [Mariane, hasSibling, Damis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damis Context triple: [Mariane, hasSibling, Damis]
-
A.
Damis
chosen
Damis is a hot-headed and outspoken character in Molière’s play "Tartuffe," known for his impulsive attempts to expose the hypocrite Tartuffe and defend his family’s honor.
-
B.
Courfeyrac
Courfeyrac is a warm-hearted, jovial young revolutionary and close companion of Marius Pontmercy in Victor Hugo’s novel *Les Misérables*.
-
C.
Maxime
Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
-
D.
Jean Cavalier
Jean Cavalier was a prominent Huguenot military leader who emerged as a key figure in the early 18th-century Camisard uprising against royal persecution in France.
-
E.
Jules Gilliéron
Jules Gilliéron was a pioneering Swiss-French linguist and dialectologist best known for his foundational work in Romance linguistics and the creation of the Atlas linguistique de la France.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66379f2cc81908f13a7b216878f12 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.