Triple

T20012046
Position Surface form Disambiguated ID Type / Status
Subject Lysander E494611 entity
Predicate groupMemberWith P73984 FINISHED
Object Helena 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: Helena | Statement: [Lysander, groupMemberWith, Helena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena
Context triple: [Lysander, groupMemberWith, Helena]
  • A. Helena
    Helena is a German princess from the House of Waldeck and Pyrmont, a minor princely family historically associated with the region of Waldeck in present-day Germany.
  • B. Helena
    Helena is a novel by Brazilian writer Machado de Assis, often noted for its exploration of family secrets, social conventions, and romantic intrigue in 19th-century Rio de Janeiro.
  • C. Helena
    Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
  • D. Helena
    Helena is a feminine given name of Greek origin meaning "light" or "bright one," famously borne by figures such as Helen of Troy and various saints and queens.
  • E. Helena chosen
    Helena is the intelligent, determined heroine of Shakespeare’s comedy "All’s Well That Ends Well," known for her resourcefulness and unwavering pursuit of love.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623773d88190826616a02d3c3e69 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.