Triple
T21811835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulalia Ramón |
E538492
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Salomé |
—
|
NE NERFINISHED |
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: [Eulalia Ramón, notableWork, Salomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salomé Context triple: [Eulalia Ramón, 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.
Salomé (1923 film)
Salomé (1923 film) is a silent biblical drama best known as a visually stylized adaptation of the Salome story starring Russian-born actress Alla Nazimova.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.