Triple
T1623350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aestheticism |
E35081
|
entity |
| Predicate | associatedWork |
P922
|
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: [Aestheticism, associatedWork, Salomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salomé Context triple: [Aestheticism, associatedWork, Salomé]
-
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.
Delilah
Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
-
C.
Orfeo
Orfeo is a classical music record label known for its high-quality recordings of orchestral, operatic, and chamber music.
-
D.
Aida
Aida is a Broadway musical, with music by Elton John and lyrics by Tim Rice, that retells the tragic love story between an enslaved Nubian princess and an Egyptian soldier.
-
E.
Phaedra
Phaedra is a figure in Greek mythology, a Cretan princess and later queen of Athens best known for her tragic love for her stepson Hippolytus.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909cf3c7481909ddbe6a6596bb0c8 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58ccc80c819088ecd91f0a99a247 |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.