Triple

T23236390
Position Surface form Disambiguated ID Type / Status
Subject Irving Shulman E581308 entity
Predicate wrote P2831 FINISHED
Object The Square Trap
The Square Trap is a novel by American author Irving Shulman, known for its gritty portrayal of mid-20th-century urban life and troubled youth.
E1578932 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: The Square Trap | Statement: [Irving Shulman, wrote, The Square Trap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Square Trap
Context triple: [Irving Shulman, wrote, The Square Trap]
  • A. La trampa
    La trampa is a novel by Spanish writer Ana María Matute that explores themes of childhood, memory, and the lingering traumas of the Spanish Civil War.
  • B. The Steel Trap
    The Steel Trap is a 1952 American crime thriller film starring Joseph Cotten as a bank employee who devises a plan to steal money and flee the country.
  • C. The Trap
    "The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
  • D. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • E. The House of Traps
    The House of Traps is a British mystery film in which Arthur Margetson played a prominent role.
  • 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: The Square Trap
Triple: [Irving Shulman, wrote, The Square Trap]
Generated description
The Square Trap is a novel by American author Irving Shulman, known for its gritty portrayal of mid-20th-century urban life and troubled youth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Square Trap
Target entity description: The Square Trap is a novel by American author Irving Shulman, known for its gritty portrayal of mid-20th-century urban life and troubled youth.
  • A. La trampa
    La trampa is a novel by Spanish writer Ana María Matute that explores themes of childhood, memory, and the lingering traumas of the Spanish Civil War.
  • B. The Steel Trap
    The Steel Trap is a 1952 American crime thriller film starring Joseph Cotten as a bank employee who devises a plan to steal money and flee the country.
  • C. The Trap
    "The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
  • D. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • E. The House of Traps
    The House of Traps is a British mystery film in which Arthur Margetson played a prominent role.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e98dec8190a23385600bed9ae0 completed April 29, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f5c2004819086c7e7c629e33b67 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4:09 p.m.