Triple
T16346723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrousel des Mondes Marins |
E396950
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | La Machine |
E1208289
|
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: La Machine | Statement: [Carrousel des Mondes Marins, designer, La Machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Machine Context triple: [Carrousel des Mondes Marins, designer, La Machine]
-
A.
La Machine
chosen
La Machine is a French street-theatre and art company renowned for creating giant mechanical creatures and spectacular urban performances.
-
B.
The Machine
The Machine is the nickname of Albert Pujols, a Dominican-American former Major League Baseball first baseman renowned for his remarkably consistent and powerful hitting.
-
C.
The Machine
The Machine is a powerful, clandestine artificial superintelligence from the TV series "Person of Interest" that predicts violent crimes by analyzing global surveillance data.
-
D.
La Maquina
La Maquina is a gritty, lyrically dense hip-hop album by Conway the Machine that showcases his signature street narratives and polished Griselda sound.
-
E.
the Machine
The Machine is a notorious torture device from "The Princess Bride" that painfully drains years of life from its victims.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0ec7e08190982a0de8ba5da105 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035587c3481908448f75e5a56d2cb |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.