Triple

T15751965
Position Surface form Disambiguated ID Type / Status
Subject Tower Heist E381867 entity
Predicate mainCharacter P1183 FINISHED
Object Arthur Shaw
Arthur Shaw is the wealthy, duplicitous financier and primary antagonist targeted for revenge in the comedy heist film "Tower Heist."
E1183938 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: Arthur Shaw | Statement: [Tower Heist, mainCharacter, Arthur Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Shaw
Context triple: [Tower Heist, mainCharacter, Arthur Shaw]
  • A. John Shaw
    John Shaw is a musician best known as a member of the American noise rock band Magik Markers.
  • B. Arvell Shaw
    Arvell Shaw was an American jazz double bassist best known for his long association and recordings with Louis Armstrong.
  • C. Bob Shaw
    Bob Shaw was a Northern Irish science fiction author and fan writer known for his witty essays, inventive concepts, and contributions to both professional and fan science fiction communities.
  • D. Vernon Shaw
    Vernon Shaw was a Dominican politician who served as the fifth President of the Commonwealth of Dominica from 1998 to 2003.
  • E. Ian Shaw
    Ian Shaw is a British actor and writer, known for his stage and screen work and for being the son of acclaimed actor Robert Shaw.
  • 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: Arthur Shaw
Triple: [Tower Heist, mainCharacter, Arthur Shaw]
Generated description
Arthur Shaw is the wealthy, duplicitous financier and primary antagonist targeted for revenge in the comedy heist film "Tower Heist."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur Shaw
Target entity description: Arthur Shaw is the wealthy, duplicitous financier and primary antagonist targeted for revenge in the comedy heist film "Tower Heist."
  • A. John Shaw
    John Shaw is a musician best known as a member of the American noise rock band Magik Markers.
  • B. Arvell Shaw
    Arvell Shaw was an American jazz double bassist best known for his long association and recordings with Louis Armstrong.
  • C. Bob Shaw
    Bob Shaw was a Northern Irish science fiction author and fan writer known for his witty essays, inventive concepts, and contributions to both professional and fan science fiction communities.
  • D. Vernon Shaw
    Vernon Shaw was a Dominican politician who served as the fifth President of the Commonwealth of Dominica from 1998 to 2003.
  • E. Ian Shaw
    Ian Shaw is a British actor and writer, known for his stage and screen work and for being the son of acclaimed actor Robert Shaw.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59779788190a393237f5293fe8d completed May 9, 2026, 10:30 p.m.
NEDg Description generation batch_69ffb62f3d8881908ede4a9a4b53bef2 completed May 9, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69ffb6f3154481909632913f4d7cfdba completed May 9, 2026, 10:36 p.m.
Created at: April 10, 2026, 4:47 a.m.