Triple
T10642587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Que sais-je? |
E250759
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Essais |
E250756
|
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: Essais | Statement: [Que sais-je?, appearsIn, Essais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essais Context triple: [Que sais-je?, appearsIn, Essais]
-
A.
Essais
chosen
Essais is a seminal collection of personal reflections and philosophical musings by Michel de Montaigne that helped establish the essay as a literary form.
-
B.
Écrits
Écrits is a seminal collection of psychoanalytic essays by Jacques Lacan that systematizes his influential reinterpretation of Freud through structural linguistics and philosophy.
-
C.
Essais de philosophie
Essais de philosophie is a philosophical work by René Descartes that collects several of his treatises, including the one on meteors.
-
D.
Poésies
Poésies is a collection of poems by French Symbolist poet Stéphane Mallarmé that exemplifies his innovative, highly allusive style and major contribution to modern poetry.
-
E.
Poésies
Poésies is a collection of religious and reflective poems by the 17th-century French writer and Jansenist nun Jacqueline Pascal.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfce1ddc8190893fe6f7b047b56b |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bd065b4819083e6fa200f27b39f |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:05 p.m.