Triple

T20416799
Position Surface form Disambiguated ID Type / Status
Subject Detection Club E500732 entity
Predicate hasMember P10 FINISHED
Object William Shaw
William Shaw is a crime fiction author known for his contemporary detective novels and membership in the Detection Club.
 E1428913 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: William Shaw | Statement: [Detection Club, hasMember, William Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Shaw
Context triple: [Detection Club, hasMember, William Shaw]
  • A. William Shaw
    William Shaw is a central pirate character in the 1995 adventure film "Cutthroat Island," known for partnering with the protagonist in a quest for buried treasure.
  • B. William Shaw
    William Shaw was an Irish nationalist politician who led the Home Rule movement in the late 19th century and served as chairman of the Irish Parliamentary Party.
  • C. Montague Shaw
    Montague Shaw was an Australian-born character actor active in early 20th-century American cinema, known for his supporting roles in numerous serials and adventure films.
  • D. John Shaw
    John Shaw is a musician best known as a member of the American noise rock band Magik Markers.
  • E. Arthur Shaw
    Arthur Shaw is the wealthy, duplicitous financier and primary antagonist targeted for revenge in the comedy heist film "Tower Heist."
  • 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: William Shaw
Triple: [Detection Club, hasMember, William Shaw]
Generated description
William Shaw is a crime fiction author known for his contemporary detective novels and membership in the Detection Club.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Shaw
Target entity description: William Shaw is a crime fiction author known for his contemporary detective novels and membership in the Detection Club.
  • A. William Shaw
    William Shaw is a central pirate character in the 1995 adventure film "Cutthroat Island," known for partnering with the protagonist in a quest for buried treasure.
  • B. William Shaw
    William Shaw was an Irish nationalist politician who led the Home Rule movement in the late 19th century and served as chairman of the Irish Parliamentary Party.
  • C. Montague Shaw
    Montague Shaw was an Australian-born character actor active in early 20th-century American cinema, known for his supporting roles in numerous serials and adventure films.
  • D. John Shaw
    John Shaw is a musician best known as a member of the American noise rock band Magik Markers.
  • E. Arthur Shaw
    Arthur Shaw is the wealthy, duplicitous financier and primary antagonist targeted for revenge in the comedy heist film "Tower Heist."
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b284bb8819090f76ec27116c619 completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088017be588190ab94b8180e44ebf4 completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0880c45e1081908f439ade0c31a47e completed May 16, 2026, 2:35 p.m.
Created at: April 16, 2026, 11:30 a.m.