Triple
T5279972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Malade imaginaire |
E119470
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Argan |
E509281
|
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: Argan | Statement: [Le Malade imaginaire, character, Argan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argan Context triple: [Le Malade imaginaire, character, Argan]
-
A.
Argan
chosen
Argan is the hypochondriac protagonist of Molière’s comedy "Le Malade imaginaire," whose obsessive fear of illness drives the play’s satire of medicine and society.
-
B.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
C.
Chenoua
Chenoua is a Berber (Amazigh) language variety spoken by the Chenoua people in northern Algeria.
-
D.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
-
E.
Jahra
Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c409248190a0154a660f58e096 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10d839dc8190a9f63740c6bd31a0 |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:52 p.m.