Triple
T2018427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euripides |
E44048
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Electra |
E9702
|
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: Electra | Statement: [Euripides, notableWork, Electra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Electra Context triple: [Euripides, notableWork, Electra]
-
A.
Electra
chosen
Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
-
B.
Elektra
Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
-
C.
Antiope
Antiope is an Amazonian queen in Greek mythology, often associated with Athens through her relationship with the hero Theseus.
-
D.
Orestes
Orestes was a Roman general and statesman who effectively ruled the Western Roman Empire through his young son, the last emperor Romulus Augustulus, before being overthrown by Odoacer.
-
E.
Orestes
Orestes is a tragic hero of Greek mythology, son of Agamemnon and Clytemnestra, famed for avenging his father’s murder and enduring the ensuing divine persecution.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ce71788190ac21beff10b08122 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af1547481909d5f2ca9c4715ace |
completed | March 8, 2026, 11:49 p.m. |
Created at: March 4, 2026, 7:38 p.m.