Triple
T16332895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comte de Clermont |
E396598
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Louis |
E1182744
|
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: Louis | Statement: [Comte de Clermont, givenName, Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Context triple: [Comte de Clermont, givenName, Louis]
-
A.
Louis
Louis is the friendly, trumpet-playing alligator who dreams of becoming a jazz musician in Disney's animated film "The Princess and the Frog."
-
B.
Louis
Louis is the family name of Spyridon Louis, the Greek runner who won the first modern Olympic marathon in 1896.
-
C.
Louis
Louis is one of the central introspective narrators in Virginia Woolf’s modernist novel "The Waves," known for his outsider status and poetic, self-analytical inner life.
-
D.
Louis
Louis is the given name of Louis de Rochemont, an American film producer and director best known for his pioneering work on the newsreel series "The March of Time."
-
E.
Louis
chosen
Louis was the given name of Louis II, Duke of Bavaria, a medieval German nobleman and regional ruler.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e0b1388190824b286e8452fb32 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026173dc081909e00f6647d1f68b3 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.