Triple
T14392246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Regnault |
E356871
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Salomé |
E66081
|
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: Salomé | Statement: [Henri Regnault, notableWork, Salomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salomé Context triple: [Henri Regnault, notableWork, Salomé]
-
A.
Salomé
Salomé is a German painter associated with the Neo-Expressionist "Neue Wilde" movement, known for his vibrant, expressive figurative works.
-
B.
Salome
chosen
Salome is a biblical and historical figure best known for her dance before Herod Antipas that led to the beheading of John the Baptist.
-
C.
Salome, Where She Danced
Salome, Where She Danced is a 1945 Technicolor historical drama film best known for being Yvonne De Carlo’s first major starring role.
-
D.
Salammbô
Salammbô is a historical novel by Gustave Flaubert set in ancient Carthage during the Mercenary War, renowned for its lush, exotic detail and meticulous historical research.
-
E.
Aída
Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de902b9acc8190817ffa848a76a880 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5517f5e481908fd65177c34f4282 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.