Triple

T20388744
Position Surface form Disambiguated ID Type / Status
Subject Unhook the Stars E498028 entity
Predicate screenwriter P2831 FINISHED
Object Helen Caldwell
Helen Caldwell is a screenwriter best known for her work on the drama film "Unhook the Stars."
E1577290 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 Caldwell | Statement: [Unhook the Stars, screenwriter, Helen Caldwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Caldwell
Context triple: [Unhook the Stars, screenwriter, Helen Caldwell]
  • A. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • B. Helen Horton
    Helen Horton was an American actress best known for her film, television, and voice work, including voicing the ship's computer "Mother" in the 1979 science fiction film Alien.
  • C. Helen Vinson
    Helen Vinson was an American film actress of the 1930s and 1940s, often cast in sophisticated or morally ambiguous roles in Hollywood dramas and crime films.
  • D. Helen Howell
    Helen Howell is known as the spouse of George Barnes.
  • E. 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.
  • 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 Caldwell
Triple: [Unhook the Stars, screenwriter, Helen Caldwell]
Generated description
Helen Caldwell is a screenwriter best known for her work on the drama film "Unhook the Stars."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen Caldwell
Target entity description: Helen Caldwell is a screenwriter best known for her work on the drama film "Unhook the Stars."
  • A. Helen Brown
    Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
  • B. Helen Horton
    Helen Horton was an American actress best known for her film, television, and voice work, including voicing the ship's computer "Mother" in the 1979 science fiction film Alien.
  • C. Helen Vinson
    Helen Vinson was an American film actress of the 1930s and 1940s, often cast in sophisticated or morally ambiguous roles in Hollywood dramas and crime films.
  • D. Helen Howell
    Helen Howell is known as the spouse of George Barnes.
  • E. 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.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f2817688190abd9a0a022ac618c completed May 19, 2026, 10:44 a.m.
NEDg Description generation batch_6a0c4043d00481908f8d72d80c8ec692 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40d700188190a34ad429ec84e710 completed May 19, 2026, 10:52 a.m.
Created at: April 16, 2026, 11:28 a.m.