Triple
T17916022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Armand |
E447927
|
entity |
| Predicate | discovered |
P412
|
FINISHED |
| Object | Aven Armand |
—
|
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: Aven Armand | Statement: [Louis Armand, discovered, Aven Armand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aven Armand Context triple: [Louis Armand, discovered, Aven Armand]
-
A.
Aven Armand
chosen
Aven Armand is a spectacular limestone cave in southern France renowned for its vast underground chamber filled with thousands of impressive stalagmites.
-
B.
Dorian Rigal-Ansous
Dorian Rigal-Ansous is a film editor known for his work on the movie "Heartbreaker."
-
C.
Patrick Poivre d’Arvor
Patrick Poivre d’Arvor is a prominent French journalist, television news anchor, and author known for presenting TF1’s evening news for several decades.
-
D.
Jules Dormal
Jules Dormal was a Belgian-Argentine architect best known for helping complete and shape the design of Buenos Aires’ iconic Teatro Colón.
-
E.
Charles Delevingne
Charles Delevingne is a British property developer best known as the father of model and actress Cara Delevingne.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.