Triple
T4471068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Strauss |
E98494
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Elektra |
E441147
|
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: Elektra | Statement: [Richard Strauss, notableWork, Elektra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elektra Context triple: [Richard Strauss, notableWork, Elektra]
-
A.
Elektra
Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
-
B.
Electra
Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
-
C.
Delilah
Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
-
D.
Delilah
"Delilah" is a song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
-
E.
Elektra (libretto)
chosen
Elektra (libretto) is an early 20th-century German-language opera text by Hugo von Hofmannsthal, best known as the basis for Richard Strauss’s intense one-act opera adapting the Greek myth of Electra.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b6a1f48190a39f5411648c40ff |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6513446f08190b4ab18dffda9060a |
completed | March 15, 2026, 6:27 a.m. |
Created at: March 12, 2026, 11:35 p.m.