Triple

T15680921
Position Surface form Disambiguated ID Type / Status
Subject Drepanum E377572 entity
Predicate associatedWith P37 FINISHED
Object Helena E37304 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: Helena | Statement: [Drepanum, associatedWith, Helena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena
Context triple: [Drepanum, associatedWith, Helena]
  • A. Helena chosen
    Helena, also known as Saint Helena, was the mother of Roman Emperor Constantine the Great and is traditionally credited with finding the True Cross and promoting Christianity within the Roman Empire.
  • B. Helena
    Helena is a fan-favorite, feral yet vulnerable clone and assassin from the TV series "Orphan Black," portrayed by Tatiana Maslany.
  • C. Helena
    Helena is a lovestruck young woman in Shakespeare’s comedy "A Midsummer Night’s Dream," known for her unrequited devotion to Demetrius and her role in the play’s romantic confusion.
  • D. Helena
    Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
  • E. 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.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756da91c81908d73a081f51edebd completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:16 a.m.