Triple
T13433151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Leroux |
E320162
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Leroux |
E856940
|
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: Leroux | Statement: [Sydney Leroux, familyName, Leroux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leroux Context triple: [Sydney Leroux, familyName, Leroux]
-
A.
Leroux
chosen
Leroux is a French surname most famously borne by Gaston Leroux, the author of "The Phantom of the Opera."
-
B.
Paris Beuller
Paris Beuller is a prominent hip-hop producer known for shaping the sound of Chicago drill through his work with key artists in the scene.
-
C.
Raspail
Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
-
D.
Clairmarais
Clairmarais is a small commune in northern France known for its marshlands and canals, situated near the town of Saint-Omer.
-
E.
Lajoux
Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.