Triple

T22057313
Position Surface form Disambiguated ID Type / Status
Subject L. D. M. Sweat E545053 entity
Predicate familyName P18 FINISHED
Object Sweat
Sweat is a surname of English origin borne by various individuals, including the American politician and art patron L. D. M. Sweat.
 E1515093 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: Sweat | Statement: [L. D. M. Sweat, familyName, Sweat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sweat
Context triple: [L. D. M. Sweat, familyName, Sweat]
  • A. Sweat
    Sweat is a 2004 studio album by American rapper Nelly that showcases his blend of hip hop and R&B with a more up-tempo, club-oriented sound.
  • B. Sweat
    Sweat is a musical act known for its association with artist Eddie Scoresazy.
  • C. Sweat
    "Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
  • D. Sweat
    "Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
  • E. No Sweat
    "No Sweat" is a song by Canadian singer-songwriter Jessie Reyez, showcasing her distinctive soulful vocals and emotionally raw lyricism.
  • 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: Sweat
Triple: [L. D. M. Sweat, familyName, Sweat]
Generated description
Sweat is a surname of English origin borne by various individuals, including the American politician and art patron L. D. M. Sweat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sweat
Target entity description: Sweat is a surname of English origin borne by various individuals, including the American politician and art patron L. D. M. Sweat.
  • A. Sweat
    Sweat is a 2004 studio album by American rapper Nelly that showcases his blend of hip hop and R&B with a more up-tempo, club-oriented sound.
  • B. Sweat
    "Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
  • C. Sweat
    "Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
  • D. Sweat
    Sweat is a musical act known for its association with artist Eddie Scoresazy.
  • E. No Sweat
    "No Sweat" is a smooth, soft-rock-inspired track by the indie supergroup Gayngs, showcasing their signature mellow, atmospheric sound.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128588e0081909056ac8251afe935 completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7f1c4c81909d45c8bac72e149b completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c8323fc8190b1737d7b85103e98 completed May 18, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d372e30819085fcbbf83a9f5e0a completed May 18, 2026, 2:45 a.m.
Created at: April 16, 2026, 8:27 p.m.