Triple

T16430312
Position Surface form Disambiguated ID Type / Status
Subject Esther Christine Kisk E399055 entity
Predicate givenName P17 FINISHED
Object Esther E1110593 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: Esther | Statement: [Esther Christine Kisk, givenName, Esther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esther
Context triple: [Esther Christine Kisk, givenName, Esther]
  • A. Esther
    "Esther" is a musical track by the artist Duotones, known for its atmospheric, melodic electronic sound.
  • B. Esther chosen
    Esther is a feminine given name of Hebrew origin, traditionally associated with the biblical Queen Esther and often interpreted to mean "star."
  • C. 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.
  • D. 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.
  • E. Esther
    Esther is the shy, skilled seamstress at the center of Lynn Nottage’s play "Intimate Apparel," whose personal journey explores themes of love, independence, and identity in early 20th-century New York.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fe0f488190ac34aa677c980a20 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004584fa508190a85b1f79ecf9c258 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.