Triple

T16239254
Position Surface form Disambiguated ID Type / Status
Subject Cockney School of poetry E394197 entity
Predicate notableWork P4 FINISHED
Object Endymion E233704 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: Endymion | Statement: [Cockney School of poetry, notableWork, Endymion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Endymion
Context triple: [Cockney School of poetry, notableWork, Endymion]
  • A. Endymion chosen
    Endymion is a long Romantic narrative poem by John Keats, best known for its opening line, “A thing of beauty is a joy for ever.”
  • B. Endymion
    Endymion is a handsome mortal youth in Greek mythology who was granted eternal sleep and agelessness, famously beloved by the moon goddess Selene.
  • C. Endymion
    Endymion is a late 16th-century allegorical comedy play by John Lyly, notable for its elaborate courtly language and its reflection of Elizabethan court politics.
  • D. The Constant Nymph
    The Constant Nymph is a 1943 romantic drama film, based on Margaret Kennedy’s novel, best known for Joan Fontaine’s acclaimed performance as a young woman in a tragic love triangle.
  • E. Lamia
    Lamia is a powerful, malevolent demon from folklore, depicted in "Drag Me to Hell" as a relentless supernatural force that curses and torments its victims before dragging their souls to hell.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edaf76c8190acc01f58845e570a completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.