Triple
T9299189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slaves of Babylon |
E223716
|
entity |
| Predicate | costumeDesignBy |
P184
|
FINISHED |
| Object | Jean Louis |
E194079
|
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: Jean Louis | Statement: [Slaves of Babylon, costumeDesignBy, Jean Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Louis Context triple: [Slaves of Babylon, costumeDesignBy, Jean Louis]
-
A.
Jean Louis
chosen
Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
-
B.
Jean-Louis
Jean-Louis is the given first name of the French Romantic painter Théodore Géricault, renowned for works such as "The Raft of the Medusa."
-
C.
Jean-Louis
Jean-Louis is the birth name of American novelist and Beat Generation icon Jack Kerouac.
-
D.
Jean-François
Jean-François is the given name of Jean-François de La Clue-Sabran, an 18th-century French naval officer and admiral.
-
E.
Jean-Charles
Jean-Charles is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer and landscape architect known for designing many of Paris’s parks and boulevards.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08cf50cc8190a025f478dff4f9fd |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cc59610819090adf2b4c3f5cec3 |
completed | April 4, 2026, 3:22 p.m. |
Created at: March 30, 2026, 7:36 p.m.