Triple

T3072341
Position Surface form Disambiguated ID Type / Status
Subject Megillat Esther E64052 entity
Predicate containsCharacter P5716 FINISHED
Object Vashti E110495 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: Vashti | Statement: [Megillat Esther, containsCharacter, Vashti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vashti
Context triple: [Megillat Esther, containsCharacter, Vashti]
  • A. Vashti chosen
    Vashti is the deposed queen of Persia in the biblical Book of Esther, known for refusing King Ahasuerus’s command to appear before his guests.
  • B. Esther
    Esther is a book of the Hebrew Bible and Christian Old Testament that tells the story of a Jewish woman who becomes queen of Persia and courageously saves her people from annihilation.
  • C. Esther
    Esther is a central character in Paulo Coelho’s novel *The Zahir*, portrayed as the missing wife whose disappearance drives the narrator’s obsessive spiritual and emotional quest.
  • D. Roxana
    Roxana is a feminine given name of Persian origin, historically associated with figures such as the wife of Alexander the Great and later borne by various notable women.
  • E. Diana
    Diana is a feminine given name of Latin origin, famously borne by the Roman goddess of the hunt and by Diana, Princess of Wales.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada14c8bd881909cf1bb2649ba36db completed March 8, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20357f8c48190b6874f7596f30052 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:02 p.m.