Triple

T7262727
Position Surface form Disambiguated ID Type / Status
Subject Buster Keaton E159693 entity
Predicate notableWork P4 FINISHED
Object Seven Chances
Seven Chances is a 1925 silent comedy film starring and directed by Buster Keaton, known for its elaborate physical gags and inventive chase sequences.
E652734 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: Seven Chances | Statement: [Buster Keaton, notableWork, Seven Chances]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seven Chances
Context triple: [Buster Keaton, notableWork, Seven Chances]
  • A. Given a Chance
    "Given a Chance" is a song featured on the R&B album "Tender Lover" by American singer-songwriter and producer Babyface.
  • B. Time and Chance
    "Time and Chance" is a notable work by British musician and songwriter Peter Townsend, reflecting his contributions beyond his role in The Who.
  • C. Zero Chance
    "Zero Chance" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
  • D. The Lucky Chance
    The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
  • E. The Lucky One
    The Lucky One is a romantic drama film based on a Nicholas Sparks novel, following a U.S. Marine who seeks out a woman he believes was his good-luck charm during the war.
  • 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: Seven Chances
Triple: [Buster Keaton, notableWork, Seven Chances]
Generated description
Seven Chances is a 1925 silent comedy film starring and directed by Buster Keaton, known for its elaborate physical gags and inventive chase sequences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seven Chances
Target entity description: Seven Chances is a 1925 silent comedy film starring and directed by Buster Keaton, known for its elaborate physical gags and inventive chase sequences.
  • A. Given a Chance
    "Given a Chance" is a song featured on the R&B album "Tender Lover" by American singer-songwriter and producer Babyface.
  • B. Time and Chance
    "Time and Chance" is a notable work by British musician and songwriter Peter Townsend, reflecting his contributions beyond his role in The Who.
  • C. Zero Chance
    "Zero Chance" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
  • D. The Lucky Chance
    The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
  • E. The Lucky One
    The Lucky One is a romantic drama film based on a Nicholas Sparks novel, following a U.S. Marine who seeks out a woman he believes was his good-luck charm during the war.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac8bc908190b0e4da5474ecb62f completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3c3bfb48190877ba03ab0851a68 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d44f36e881909d107cc625ebcfca completed March 28, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_69c7d4cc3e78819098eb8ccfe7c42cc5 completed March 28, 2026, 1:17 p.m.
Created at: March 27, 2026, 2:57 p.m.