Triple

T22484482
Position Surface form Disambiguated ID Type / Status
Subject Junta E555844 entity
Predicate hasTrack P3284 FINISHED
Object Esther NE NERFINISHED

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: [Junta, hasTrack, Esther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esther
Context triple: [Junta, hasTrack, Esther]
  • A. Esther
    Esther is the enigmatic and sinister young girl who serves as the central antagonist in the psychological horror film "Orphan" (2009).
  • B. Esther
    Esther is the seemingly innocent yet violently psychopathic girl who serves as the central antagonist in the horror film "Orphan: First Kill."
  • 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. Esther chosen
    "Esther" is a musical track by the artist Duotones, known for its atmospheric, melodic electronic sound.
  • E. Esther
    Esther is a key supporting character in Lew Wallace’s novel *Ben-Hur: A Tale of the Christ*, known as the compassionate and loyal daughter of the merchant Simonides and eventual love interest of Judah Ben-Hur.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3bb8cc8190950efd84ebe86b73 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.