Triple

T4984040
Position Surface form Disambiguated ID Type / Status
Subject Melotte 22 E111956 entity
Predicate notableStar P4743 FINISHED
Object Electra E9702 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: [Melotte 22, notableStar, Electra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Electra
Context triple: [Melotte 22, notableStar, Electra]
  • A. Electra chosen
    Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
  • B. Elektra
    Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
  • C. Creusa
    Creusa is a figure in Greek mythology, often depicted as an Athenian princess and mother of Ion in Euripides’ tragedy.
  • D. Creusa
    Creusa is a figure in Greek mythology, best known as a Trojan princess and the wife of the hero Aeneas.
  • E. Antiope
    Antiope is an Amazonian queen in Greek mythology, often associated with Athens through her relationship with the hero Theseus.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7255d7b4819098b537df5b1a4c3c completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a1891c48190b85bec5e97f75e44 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.