Triple

T4623077
Position Surface form Disambiguated ID Type / Status
Subject Ace in the Hole E101031 entity
Predicate screenwriter P2831 FINISHED
Object Lesser Samuels
Lesser Samuels was an American screenwriter best known for his work on hard-edged film noirs and dramas in mid-20th-century Hollywood.
E456965 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: Lesser Samuels | Statement: [Ace in the Hole, screenwriter, Lesser Samuels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lesser Samuels
Context triple: [Ace in the Hole, screenwriter, Lesser Samuels]
  • A. Samuel Black
    Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
  • B. Samuel Lord
    Samuel Lord was a 19th-century English-born American merchant best known for establishing the iconic New York department store Lord & Taylor.
  • C. Samuel Spencer
    Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
  • D. Samuel Reynolds
    Samuel Reynolds was the founder of St Edward's School in Oxford, an English educational institution established in the 19th century.
  • E. Scudder
    Scudder is a family surname that may refer to various individuals, including the fictional Mrs. Scudder and other real or literary figures bearing that name.
  • 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: Lesser Samuels
Triple: [Ace in the Hole, screenwriter, Lesser Samuels]
Generated description
Lesser Samuels was an American screenwriter best known for his work on hard-edged film noirs and dramas in mid-20th-century Hollywood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lesser Samuels
Target entity description: Lesser Samuels was an American screenwriter best known for his work on hard-edged film noirs and dramas in mid-20th-century Hollywood.
  • A. Samuel Black
    Samuel Black is the father of American stand-up comedian and social critic Lewis Black.
  • B. Samuel Lord
    Samuel Lord was a 19th-century English-born American merchant best known for establishing the iconic New York department store Lord & Taylor.
  • C. Samuel Spencer
    Samuel Spencer was an American railroad executive best known as the first president and a key organizer of the Southern Railway in the late 19th century.
  • D. Samuel Reynolds
    Samuel Reynolds was the founder of St Edward's School in Oxford, an English educational institution established in the 19th century.
  • E. Scudder
    Scudder is a family surname that may refer to various individuals, including the fictional Mrs. Scudder and other real or literary figures bearing that name.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a053d38819097b3ecbc06aa6e4d completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaa069388190b6482315708b85c2 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb9422e48190819d5d99e72e8854 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc6ac91c819090776365d3dc05d4 completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:12 p.m.