Triple

T15455495
Position Surface form Disambiguated ID Type / Status
Subject Classical Greek literature E371758 entity
Predicate majorWork P4 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: [Classical Greek literature, majorWork, Antigone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antigone
Context triple: [Classical Greek literature, majorWork, 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. Antigone
    Antigone is a small village located in Gjirokastër County in southern Albania, known for its proximity to the archaeological site of ancient Antigonea.
  • C. Nerde Antigone
    Nerde Antigone is a notable poetic work by the prominent Turkish modernist poet Edip Cansever.
  • D. L’Egisto
    L’Egisto is a 17th-century Italian opera by Francesco Cavalli, known for its expressive early Baroque style and mythological subject matter.
  • E. 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.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f146a2c8190882741af3ec15268 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b5e1788190bdc8182822f25fa1 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:31 a.m.