Triple

T2768500
Position Surface form Disambiguated ID Type / Status
Subject George MacKay E61394 entity
Predicate notableWork P4 FINISHED
Object The Trick
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
 E297792 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 Trick | Statement: [George MacKay, notableWork, The Trick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Trick
Context triple: [George MacKay, notableWork, The Trick]
  • A. Trick Me
    "Trick Me" is a 2004 R&B and reggae-influenced single by American singer Kelis, known for its anti-violence message and international chart success.
  • B. Trick
    Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
  • 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 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.
  • E. The Stick
    The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
  • 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 Trick
Triple: [George MacKay, notableWork, The Trick]
Generated description
The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Trick
Target entity description: The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
  • A. Trick Me
    "Trick Me" is a 2004 R&B and reggae-influenced single by American singer Kelis, known for its anti-violence message and international chart success.
  • B. Trick
    Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
  • 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 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.
  • E. The Stick
    The Stick is the longtime nickname of Candlestick Park, the former outdoor sports stadium in San Francisco that famously hosted the San Francisco Giants and 49ers.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6785d88190b99f99889463a962 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc11fa5ec8190a0b495f6b71591ab completed March 10, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69afc1f734dc8190a4861b05583f7018 completed March 10, 2026, 7:02 a.m.
Created at: March 6, 2026, 9:57 p.m.