Triple

T17712937
Position Surface form Disambiguated ID Type / Status
Subject fall of Sophia E441614 entity
Predicate relatedFigure P37 FINISHED
Object Logos 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: Logos | Statement: [fall of Sophia, relatedFigure, Logos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logos
Context triple: [fall of Sophia, relatedFigure, Logos]
  • A. Logos chosen
    Logos is a central concept in Christian theology referring to the divine Word or reason of God, identified with Christ as the preexistent and incarnate Son.
  • B. The Logo
    The Logo is the famous nickname of NBA legend Jerry West, referencing his iconic silhouette used in the league’s official logo.
  • C. Monogram
    Monogram is a famous mixed-media artwork by Robert Rauschenberg featuring a taxidermied goat encircled by a tire, emblematic of his groundbreaking “combine” paintings that merge painting and sculpture.
  • D. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • E. Logoisk
    Logoisk is a small historic town in Belarus known for its scenic hilly landscape, ski resort, and archaeological heritage.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729c2c98819086fe48420217308d completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:06 a.m.