Triple

T8791095
Position Surface form Disambiguated ID Type / Status
Subject Iphigenia E209166 entity
Predicate sibling P363 FINISHED
Object Electra E518870 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: Electra | Statement: [Iphigenia, sibling, Electra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Electra
Context triple: [Iphigenia, sibling, 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 (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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5220af84819095ddefd84fd9f369 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.