Triple

T14733574
Position Surface form Disambiguated ID Type / Status
Subject Amy Jellicoe E346141 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Helen Jellicoe
Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
 E1194670 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 Jellicoe | Statement: [Amy Jellicoe, hasRelationshipWith, Helen Jellicoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helen Jellicoe
Context triple: [Amy Jellicoe, hasRelationshipWith, Helen Jellicoe]
  • A. Helen Hughes
    Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
  • B. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • C. Helen Graham
    Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
  • D. Helen Flint
    Helen Flint is a television and film producer known for her work as an executive producer on high-profile drama series.
  • E. Helen Beverley
    Helen Beverley was an American film and stage actress best known for her work in Yiddish cinema in the 1930s and 1940s.
  • 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 Jellicoe
Triple: [Amy Jellicoe, hasRelationshipWith, Helen Jellicoe]
Generated description
Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helen Jellicoe
Target entity description: Helen Jellicoe is a character associated with Amy Jellicoe, likely a close family member or relative within the same narrative universe.
  • A. Helen Hughes
    Helen Hughes was a daughter of Charles Evans Hughes, the prominent American statesman who served as both U.S. Secretary of State and Chief Justice of the Supreme Court.
  • B. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • C. Helen Graham
    Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
  • D. Helen Flint
    Helen Flint is a television and film producer known for her work as an executive producer on high-profile drama series.
  • E. Helen Beverley
    Helen Beverley was an American film and stage actress best known for her work in Yiddish cinema in the 1930s and 1940s.
  • F. None of above. chosen

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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
NEDg Description generation batch_69ffec5cc1808190ae622027804b43f2 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffed56235c8190b2075cce605ecf03 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 1:29 a.m.