Triple
T12731907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolph Maté |
E304258
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | L'Argent |
E339524
|
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: L'Argent | Statement: [Rudolph Maté, workedOn, L'Argent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L'Argent Context triple: [Rudolph Maté, workedOn, L'Argent]
-
A.
L’Argent
chosen
L’Argent is an 1891 novel by Émile Zola that explores the corrupting power of finance and speculation within the broader Rougon-Macquart series.
-
B.
Onze d'Argent 1990
Onze d'Argent 1990 is a prestigious French football award given to the second-best player in Europe for the 1989–1990 season.
-
C.
Munny Right
Munny Right is a conceptual component or aspect within the broader idea referred to as "The Definition," likely representing a specific principle, rule, or element of that overarching concept.
-
D.
Léon
Léon is a masculine given name of French origin, commonly used in French-speaking countries and derived from the Latin name Leo, meaning "lion."
-
E.
Léon
Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96467a2248190aff1ebb5db84b3c6 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8c38a88190853c4d14e2492599 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:25 p.m.