Triple

T10521088
Position Surface form Disambiguated ID Type / Status
Subject William Janney E248170 entity
Predicate notableWork P4 FINISHED
Object The Mad Game
The Mad Game is a 1933 American crime drama film starring Spencer Tracy and Claire Trevor, centered on a reformed bootlegger who goes undercover to help the police.
 E868594 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 Mad Game | Statement: [William Janney, notableWork, The Mad Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Mad Game
Context triple: [William Janney, notableWork, The Mad Game]
  • A. The Name of the Game
    "The Name of the Game" is a 1977 pop song by Swedish group ABBA, known for its melodic complexity and introspective lyrics.
  • B. The Name of the Game
    The Name of the Game is an American television series from the late 1960s and early 1970s that followed the lives of magazine publishing executives through rotating lead characters and storylines.
  • C. Caught in the Game
    Caught in the Game is a 1983 hard rock album by American band Survivor, known for its melodic rock sound and powerful vocals.
  • D. Cold Game
    Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
  • E. The Gamester
    The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
  • 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 Mad Game
Triple: [William Janney, notableWork, The Mad Game]
Generated description
The Mad Game is a 1933 American crime drama film starring Spencer Tracy and Claire Trevor, centered on a reformed bootlegger who goes undercover to help the police.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Mad Game
Target entity description: The Mad Game is a 1933 American crime drama film starring Spencer Tracy and Claire Trevor, centered on a reformed bootlegger who goes undercover to help the police.
  • A. The Name of the Game
    "The Name of the Game" is a 1977 pop song by Swedish group ABBA, known for its melodic complexity and introspective lyrics.
  • B. The Name of the Game
    The Name of the Game is an American television series from the late 1960s and early 1970s that followed the lives of magazine publishing executives through rotating lead characters and storylines.
  • C. Caught in the Game
    Caught in the Game is a 1983 hard rock album by American band Survivor, known for its melodic rock sound and powerful vocals.
  • D. Cold Game
    Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
  • E. The Gamester
    The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dec25881909bc748640f26a416 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e119fe4819085e5c1c6e71e6260 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:28 p.m.