Triple
T13365037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Deslonde |
E318916
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Caroline Deslonde |
E318916
|
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: Caroline Deslonde | Statement: [Caroline Deslonde, name, Caroline Deslonde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caroline Deslonde Context triple: [Caroline Deslonde, name, Caroline Deslonde]
-
A.
Caroline Deslonde
chosen
Caroline Deslonde was a 19th-century Louisiana Creole woman best known as the wife of Confederate general P. G. T. Beauregard.
-
B.
Caroline Archenbaut Defayis
Caroline Archenbaut Defayis was the mother of French poet Charles Baudelaire and a significant figure in his early life and emotional development.
-
C.
Caroline Dhavernas
Caroline Dhavernas is a Canadian actress best known for her roles in television series such as "Wonderfalls" and "Hannibal."
-
D.
Mariette Monpierre
Mariette Monpierre is a Guadeloupean-born French filmmaker and director known for works exploring Caribbean identity, diaspora, and womanhood.
-
E.
Caroline Champetier
Caroline Champetier is a renowned French cinematographer known for her visually distinctive work on numerous art-house and international films.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628c71ac81908cfa36342077766e |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7397b871c819081272c48b3210e00 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:32 p.m.