Triple
T5584510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louiguy |
E146720
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Louiguy |
E146720
|
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: Louiguy | Statement: [Louiguy, name, Louiguy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louiguy Context triple: [Louiguy, name, Louiguy]
-
A.
Louiguy
chosen
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
B.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
C.
Stephen Sauvestre
Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
-
D.
Alphonse Jourdain
Alphonse Jourdain was a 12th-century French nobleman and Count of Toulouse known for his role in regional politics and territorial expansion in southern France.
-
E.
Pierre Galante
Pierre Galante was a French journalist and writer best known for his long career at Paris Match and his marriage to actress Olivia de Havilland.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02085d0e48190b8d185fe7f3d8579 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11335c29c8190b8b99acee7214f6f |
completed | March 23, 2026, 10:17 a.m. |
Created at: March 22, 2026, 3:37 p.m.