Triple

T7733544
Position Surface form Disambiguated ID Type / Status
Subject Pär Lagerkvist E175322 entity
Predicate notableWork P4 FINISHED
Object The Sibyl E114418 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: The Sibyl | Statement: [Pär Lagerkvist, notableWork, The Sibyl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sibyl
Context triple: [Pär Lagerkvist, notableWork, The Sibyl]
  • A. The Goddess
    The Goddess is a 1915 American silent drama film starring Anita Stewart, produced by the Vitagraph Company of America.
  • B. Sybylla
    Sybylla is the spirited, independent-minded young heroine and narrator of Miles Franklin’s classic Australian novel "My Brilliant Career."
  • C. Sibyl chosen
    Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
  • D. Sylvae
    Sylvae is a collection of Latin poetic works by the Renaissance humanist Angelo Poliziano, showcasing his erudition and mastery of classical scholarship.
  • E. The Wise Virgin
    The Wise Virgin is a 1924 British silent drama film starring Jacqueline Logan, known for its moral themes and early cinematic style.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70339c4b481909a56ae13f501e794 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b534b6588190885db4632b97775f completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:06 p.m.