Triple

T6455556
Position Surface form Disambiguated ID Type / Status
Subject Funeral E141984 entity
Predicate hasPart P35 FINISHED
Object Piano Trap
Piano Trap is a deadly mechanical device featured in the "Saw" horror franchise, designed to kill or mutilate its victim through a gruesome, music-themed mechanism.
E593437 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: Piano Trap | Statement: [Funeral, hasPart, Piano Trap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piano Trap
Context triple: [Funeral, hasPart, Piano Trap]
  • A. 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.
  • B. Grand Piano
    Grand Piano is a 2013 thriller film about a concert pianist forced to play flawlessly under threat, starring Elijah Wood and John Cusack.
  • C. Dime Trap
    Dime Trap is a studio album by American rapper T.I. that showcases his mature reflections on fame, responsibility, and Southern hip hop culture.
  • D. The Most Happy Piano
    The Most Happy Piano is a jazz album by pianist Erroll Garner showcasing his distinctive, exuberant swing style and inventive improvisations.
  • E. Traps
    "Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
  • 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: Piano Trap
Triple: [Funeral, hasPart, Piano Trap]
Generated description
Piano Trap is a deadly mechanical device featured in the "Saw" horror franchise, designed to kill or mutilate its victim through a gruesome, music-themed mechanism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Piano Trap
Target entity description: Piano Trap is a deadly mechanical device featured in the "Saw" horror franchise, designed to kill or mutilate its victim through a gruesome, music-themed mechanism.
  • A. 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.
  • B. Grand Piano
    Grand Piano is a 2013 thriller film about a concert pianist forced to play flawlessly under threat, starring Elijah Wood and John Cusack.
  • C. Dime Trap
    Dime Trap is a studio album by American rapper T.I. that showcases his mature reflections on fame, responsibility, and Southern hip hop culture.
  • D. The Most Happy Piano
    The Most Happy Piano is a jazz album by pianist Erroll Garner showcasing his distinctive, exuberant swing style and inventive improvisations.
  • E. Traps
    "Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d4d588819090e8a56c46c0bfe9 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bdc4e808190a7c24b963ab0aa30 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64ce18f6c8190910dcc2fc553328e completed March 27, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c64db784f08190b786c4de051ee527 completed March 27, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:48 p.m.