Triple

T9142381
Position Surface form Disambiguated ID Type / Status
Subject Πανδώρα E219360 entity
Predicate equivalentInEnglish P31361 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: [Πανδώρα, equivalentInEnglish, Pandora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pandora
Context triple: [Πανδώρα, equivalentInEnglish, 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. Pandora
    Pandora is the lush, bioluminescent alien moon featured in James Cameron’s "Avatar" franchise, known for its floating mountains, exotic wildlife, and deep connection between nature and its indigenous Na’vi inhabitants.
  • D. Pandora
    Pandora is a small inner moon of Saturn that helps gravitationally shape and maintain the planet’s narrow F ring.
  • E. 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.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8f5f740819098236ada5b95889d completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d048186cc88190be4f515c16c20450 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:19 p.m.