Triple

T20609593
Position Surface form Disambiguated ID Type / Status
Subject Helen "Pat" Evison E506408 entity
Predicate givenName P17 FINISHED
Object Helen
Helen "Pat" Evison was a New Zealand actress best known for her roles in television series such as "Country GP" and "Shortland Street."
E506408 NE FINISHED

How this triple was built (4 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: Helen | Statement: [Helen "Pat" Evison, givenName, Helen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen
Context triple: [Helen "Pat" Evison, givenName, Helen]
  • A. Helen
    Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
  • B. Helen
    Helen is a central survivor and maternal figure in the post-apocalyptic film "Waterworld," known for her determination to protect the child Enola and seek the mythical Dryland.
  • C. Helen
    Helen is a fictional protagonist associated with a narrative set in or around New York City's Central Park.
  • D. Helen
    Helen is a fictional character from the 1930 aviation war film "Hell's Angels," which is renowned for its groundbreaking aerial combat sequences and early sound-era spectacle.
  • E. Helen
    Helen is a person characterized in this context by her adversarial relationship with Deacon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Helen
Triple: [Helen "Pat" Evison, givenName, Helen]
Generated description
Helen "Pat" Evison was a New Zealand actress best known for her roles in television series such as "Country GP" and "Shortland Street."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen
Target entity description: Helen "Pat" Evison was a New Zealand actress best known for her roles in television series such as "Country GP" and "Shortland Street."
  • A. Helen chosen
    Helen is the given first name of New Zealand actress Pat Evison, known for her work in film, television, and theatre.
  • B. Helen
    Helen is a character from the British television sitcom "Out of This World."
  • C. Helen
    Helen is a character in the 1971 American drama film "The Panic in Needle Park," which portrays the lives of heroin addicts in New York City.
  • D. Helen
    Helen is the birth name of P. L. Travers, the Australian-British author best known for creating the "Mary Poppins" series.
  • E. Helen
    Helen is the given first name of the British philosopher and life peer Mary Warnock.
  • F. None of above.

Provenance (5 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad5e53c8190b0add34ce9b31d57 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3f98e5c8190833d0e47b3e9585b completed May 16, 2026, 6:14 p.m.
NEDg Description generation batch_6a08b5a15a7c819099923f5a4d5f92c0 completed May 16, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_6a08b603cd8481908780f4670dabf4a0 completed May 16, 2026, 6:23 p.m.
Created at: April 16, 2026, 11:41 a.m.