Triple

T8785422
Position Surface form Disambiguated ID Type / Status
Subject Odds Against Tomorrow E209032 entity
Predicate starring P1507 FINISHED
Object Will Kuluva
Will Kuluva was an American character actor known for his numerous film and television roles from the 1940s through the 1970s.
 E757425 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: Will Kuluva | Statement: [Odds Against Tomorrow, starring, Will Kuluva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Will Kuluva
Context triple: [Odds Against Tomorrow, starring, Will Kuluva]
  • A. Nandha
    Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
  • B. Kovai
    Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
  • C. Simhadri
    Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
  • D. Balakumaran
    Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
  • E. Nandi Thimmana
    Nandi Thimmana was a prominent Telugu poet of the Vijayanagara Empire, renowned for his works in the court of Emperor Krishnadevaraya.
  • 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: Will Kuluva
Triple: [Odds Against Tomorrow, starring, Will Kuluva]
Generated description
Will Kuluva was an American character actor known for his numerous film and television roles from the 1940s through the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Will Kuluva
Target entity description: Will Kuluva was an American character actor known for his numerous film and television roles from the 1940s through the 1970s.
  • A. Nandha
    Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
  • B. Kovai
    Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
  • C. Simhadri
    Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
  • D. Balakumaran
    Balakumaran was a prominent Indian Tamil author and screenwriter known for his popular novels and contributions to Tamil cinema.
  • E. Nandi Thimmana
    Nandi Thimmana was a prominent Telugu poet of the Vijayanagara Empire, renowned for his works in the court of Emperor Krishnadevaraya.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f758d348190804942d985f2337c completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51fded4c81909725807e4855c4a2 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf55ec47f88190878724c4245410de completed April 3, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69cf5679f85c8190aebb19ad364fe202 completed April 3, 2026, 5:56 a.m.
Created at: March 30, 2026, 6:42 p.m.