Triple
T14133815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Badel |
E350236
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Salome |
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: Salome | Statement: [Alan Badel, notableWork, Salome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salome Context triple: [Alan Badel, notableWork, Salome]
-
A.
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.
-
B.
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.
-
C.
Jochanaan in Salome
Jochanaan in *Salome* is the opera’s stern, prophetic figure based on John the Baptist, whose moral rigidity and rejection of Salome drive the drama’s central conflict.
-
D.
Aída
Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
-
E.
Odet
Odet is a given name most notably borne by Odet de Coligny, a 16th-century French cardinal and prominent figure in the early French Reformation.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1288b48190a382732fac13aaf7 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 11:40 p.m.