Triple

T7832443
Position Surface form Disambiguated ID Type / Status
Subject Bo Goldman E181604 entity
Predicate placeOfDeath P21 FINISHED
Object Helena E35660 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: [Bo Goldman, placeOfDeath, Helena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena
Context triple: [Bo Goldman, placeOfDeath, Helena]
  • A. Helena chosen
    Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
  • B. 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.
  • C. Helena
    Helena is a fan-favorite, feral yet vulnerable clone and assassin from the TV series "Orphan Black," portrayed by Tatiana Maslany.
  • D. Helena
    Helena is the middle name of Princess Eugenie of York, a member of the British royal family.
  • E. 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.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb0648bb308190a34fbcd81ff6fda2 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a906b908190a204779950555edc completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:45 p.m.