Triple

T10285330
Position Surface form Disambiguated ID Type / Status
Subject Martha Hyer E241211 entity
Predicate notableWork P4 FINISHED
Object Cry Tough
Cry Tough is a 1959 crime drama film in which Martha Hyer stars in a story about a young Puerto Rican man's struggle to escape a life of gang violence.
 E854720 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: Cry Tough | Statement: [Martha Hyer, notableWork, Cry Tough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cry Tough
Context triple: [Martha Hyer, notableWork, Cry Tough]
  • A. Cry Tough
    Cry Tough is a 1976 rock album by Nils Lofgren that showcases his melodic guitar work and songwriting in the mid-1970s singer-songwriter scene.
  • B. Cryin'
    "Cryin'" is a 1993 power ballad by American rock band Aerosmith, known for its blend of hard rock and emotional lyrics and its iconic music video featuring Alicia Silverstone.
  • C. One Last Cry
    "One Last Cry" is a 1990s R&B ballad by Brian McKnight known for its emotional lyrics and powerful vocal performance.
  • D. I’m Cryin’
    "I’m Cryin’" is a blues-rock song by Stevie Ray Vaughan and Double Trouble from their influential 1983 debut album "Texas Flood."
  • E. Cry a While
    "Cry a While" is a country song recorded by the American duo Love and Theft.
  • 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: Cry Tough
Triple: [Martha Hyer, notableWork, Cry Tough]
Generated description
Cry Tough is a 1959 crime drama film in which Martha Hyer stars in a story about a young Puerto Rican man's struggle to escape a life of gang violence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cry Tough
Target entity description: Cry Tough is a 1959 crime drama film in which Martha Hyer stars in a story about a young Puerto Rican man's struggle to escape a life of gang violence.
  • A. Cry Tough
    Cry Tough is a 1976 rock album by Nils Lofgren that showcases his melodic guitar work and songwriting in the mid-1970s singer-songwriter scene.
  • B. Cryin'
    "Cryin'" is a 1993 power ballad by American rock band Aerosmith, known for its blend of hard rock and emotional lyrics and its iconic music video featuring Alicia Silverstone.
  • C. One Last Cry
    "One Last Cry" is a 1990s R&B ballad by Brian McKnight known for its emotional lyrics and powerful vocal performance.
  • D. I’m Cryin’
    "I’m Cryin’" is a blues-rock song by Stevie Ray Vaughan and Double Trouble from their influential 1983 debut album "Texas Flood."
  • E. Cry a While
    "Cry a While" is a country song recorded by the American duo Love and Theft.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b737788190bfadd0d48ad38f5b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d0b40d081908eb3f7ba24352a42 completed April 9, 2026, 3:29 a.m.
NEDg Description generation batch_69d71f78bbd88190b0c7829f3541cedb completed April 9, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69d7319f699881909a1e0dba5f5ffb06 completed April 9, 2026, 4:57 a.m.
Created at: April 6, 2026, 11:40 a.m.