Triple

T22274392
Position Surface form Disambiguated ID Type / Status
Subject Assassins E550563 entity
Predicate mainCharacter P1183 FINISHED
Object Electra 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: Electra | Statement: [Assassins, mainCharacter, Electra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Electra
Context triple: [Assassins, mainCharacter, Electra]
  • A. Electra
    Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
  • B. Electra chosen
    Electra is a figure from Greek mythology, best known as the daughter of Agamemnon and Clytemnestra who helps avenge her father's murder.
  • C. Electra (Oceanid)
    Electra is an Oceanid nymph from Greek mythology, one of the many water-associated daughters of the Titans Oceanus and Tethys.
  • D. Iphigene
    Iphigene Ochs Sulzberger was an American newspaper heiress, civic leader, and influential figure in the family that owned and published The New York Times.
  • E. Elektra
    Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.