Triple

T21037891
Position Surface form Disambiguated ID Type / Status
Subject Rebekah Mary Wade E518237 entity
Predicate associatedWith P37 FINISHED
Object The Sun 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: The Sun | Statement: [Rebekah Mary Wade, associatedWith, The Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sun
Context triple: [Rebekah Mary Wade, associatedWith, The Sun]
  • A. The Sun
    The Sun is a fictional newspaper featured in the soap opera "One Life to Live," serving as a prominent tabloid in the town of Llanview, Pennsylvania.
  • B. The Sun chosen
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • C. The Sun
    The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
  • D. The Sun
    The Sun is a 2005 historical drama film by Russian director Alexander Sokurov that portrays Emperor Hirohito in the final days of World War II.
  • E. The Sun
    The Sun is the star at the center of our solar system, providing the light and heat that sustain life on Earth.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcecf2508190a7647abb3c59debb completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:05 p.m.