Triple

T1783492
Position Surface form Disambiguated ID Type / Status
Subject Epimetheus E39337 entity
Predicate spouse P13 FINISHED
Object Pandora E42379 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: Pandora | Statement: [Epimetheus, spouse, Pandora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandora
Context triple: [Epimetheus, spouse, Pandora]
  • A. Pandora chosen
    Pandora is a figure from Greek mythology best known as the first woman whose curiosity led her to open a forbidden container, releasing all the evils into the world while leaving only hope inside.
  • B. Pandora
    Pandora is a popular internet radio and music streaming service that offers personalized stations based on users’ musical preferences.
  • C. Odeo
    Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
  • D. Pandora and the Flying Dutchman
    Pandora and the Flying Dutchman is a 1951 romantic fantasy film blending myth and legend, best known for starring Ava Gardner and James Mason in a haunting tale of doomed love.
  • E. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e4cf108190891338052b581ae8 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a1aa8481908cbcecde85804461 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.