Triple
T7409001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argia |
E170951
|
entity |
| Predicate | relativeByMarriage |
P7844
|
FINISHED |
| Object | Antigone |
E110393
|
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: Antigone | Statement: [Argia, relativeByMarriage, Antigone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antigone Context triple: [Argia, relativeByMarriage, Antigone]
-
A.
Antigone
chosen
Antigone is a tragic heroine from Greek mythology and Sophocles’ Theban plays, known for defying royal authority to honor her family and the gods.
-
B.
Nerde Antigone
Nerde Antigone is a notable poetic work by the prominent Turkish modernist poet Edip Cansever.
-
C.
L’Egisto
L’Egisto is a 17th-century Italian opera by Francesco Cavalli, known for its expressive early Baroque style and mythological subject matter.
-
D.
Hecuba (Euripides)
Hecuba (Euripides) is a Greek tragedy by Euripides that portrays the suffering and vengeance of the Trojan queen Hecuba after the fall of Troy.
-
E.
Electra (Sophocles)
Electra (Sophocles) is an ancient Greek tragedy by Sophocles that dramatizes Electra’s quest for vengeance against her mother Clytemnestra and her lover Aegisthus for the murder of her father Agamemnon.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29acf588190a7c4056bdc4f3ffc |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111fcd948190adbe6280df53a916 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.