Triple

T21445381
Position Surface form Disambiguated ID Type / Status
Subject Peter Barnes E529058 entity
Predicate notableWork P4 FINISHED
Object Laughter
Laughter is a satirical play by Peter Barnes that explores themes of power, cruelty, and absurdity through darkly comic drama.
E1484816 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: Laughter | Statement: [Peter Barnes, notableWork, Laughter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laughter
Context triple: [Peter Barnes, notableWork, Laughter]
  • A. Laughing
    "Laughing" is a folk-rock song by Crosby, Stills, Nash & Young, featured on their 1971 live album *4 Way Street*.
  • B. Laugh
    "Laugh" is a song featured on the album *The Curtain Hits the Cast* by the American indie rock band Low.
  • C. Maniacal Laughter
    Maniacal Laughter is a 1996 punk rock album by The Bouncing Souls that helped establish the band’s energetic, melodic style in the underground punk scene.
  • D. Laugh-In
    Laugh-In was a fast-paced, groundbreaking American sketch comedy television series from the late 1960s and early 1970s known for its zany humor, catchphrases, and satirical take on contemporary culture and politics.
  • E. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • 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: Laughter
Triple: [Peter Barnes, notableWork, Laughter]
Generated description
Laughter is a satirical play by Peter Barnes that explores themes of power, cruelty, and absurdity through darkly comic drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laughter
Target entity description: Laughter is a satirical play by Peter Barnes that explores themes of power, cruelty, and absurdity through darkly comic drama.
  • A. Laughing
    "Laughing" is a folk-rock song by Crosby, Stills, Nash & Young, featured on their 1971 live album *4 Way Street*.
  • B. Laugh
    "Laugh" is a song featured on the album *The Curtain Hits the Cast* by the American indie rock band Low.
  • C. Maniacal Laughter
    Maniacal Laughter is a 1996 punk rock album by The Bouncing Souls that helped establish the band’s energetic, melodic style in the underground punk scene.
  • D. Laugh-In
    Laugh-In was a fast-paced, groundbreaking American sketch comedy television series from the late 1960s and early 1970s known for its zany humor, catchphrases, and satirical take on contemporary culture and politics.
  • E. Belaugh
    Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b707ecd88190b3576b8923840870 completed April 22, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c9034c3c8190a5c3ea37ef2b44f9 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c993004c81909cc0224947c178e0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca14cfcc81908565427b504d815e completed May 17, 2026, 2 p.m.
Created at: April 16, 2026, 6:05 p.m.