Triple

T16813307
Position Surface form Disambiguated ID Type / Status
Subject Rachel Duncan E408669 entity
Predicate antagonistTo P18963 FINISHED
Object Helena E344063 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: [Rachel Duncan, antagonistTo, Helena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena
Context triple: [Rachel Duncan, antagonistTo, Helena]
  • A. Helena
    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 chosen
    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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e01fb8819081cf2c08f29448da completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.