Triple
T6900917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | René Clair |
E159490
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Le Million |
E221893
|
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: Le Million | Statement: [René Clair, directed, Le Million]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Million Context triple: [René Clair, directed, Le Million]
-
A.
Le Million
chosen
Le Million is a 1931 French musical comedy film directed by René Clair, celebrated for its inventive use of sound and playful, surreal style.
-
B.
Il Milione
Il Milione is the famous travel narrative in which Marco Polo recounts his extensive journeys through Asia, including his time at the court of Kublai Khan.
-
C.
La Valise
La Valise is a French comedy film best known for featuring actor Jean-Pierre Marielle in a prominent role.
-
D.
Les Gouttes d’Or
Les Gouttes d’Or is a prestigious Premier Cru vineyard in Meursault, Burgundy, renowned for producing refined, mineral-driven Chardonnay wines.
-
E.
Torrent de Pareis
Torrent de Pareis is a dramatic limestone gorge and seasonal stream on Mallorca’s northwest coast, famed for its towering cliffs, hiking route, and pebble beach where the canyon meets the sea.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9603f448190bb9f963c17ca206d |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7512268ec81908e2f751a585cb8da |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:24 p.m.