Triple

T6540477
Position Surface form Disambiguated ID Type / Status
Subject Louise Lasser E168272 entity
Predicate notableWork P4 FINISHED
Object Slither
Slither is a 1973 American crime-comedy film known for its offbeat humor and ensemble cast, including Louise Lasser and James Caan.
 E604188 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: Slither | Statement: [Louise Lasser, notableWork, Slither]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slither
Context triple: [Louise Lasser, notableWork, Slither]
  • A. Slither
    Slither is a 2006 horror-comedy film that blends grotesque alien invasion elements with dark humor and cult-movie sensibilities.
  • B. Lagarto
    Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
  • C. The Snakes
    The Snakes is a subgroup affiliated with the Brooklyn hip-hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
  • D. Tarantula
    Tarantula is an experimental, stream-of-consciousness prose poetry book by Bob Dylan, reflecting his surreal and avant-garde literary style of the 1960s.
  • E. Tarantula
    Tarantula is a 1955 American science-fiction horror film featuring a giant mutant spider terrorizing a desert town.
  • 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: Slither
Triple: [Louise Lasser, notableWork, Slither]
Generated description
Slither is a 1973 American crime-comedy film known for its offbeat humor and ensemble cast, including Louise Lasser and James Caan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slither
Target entity description: Slither is a 1973 American crime-comedy film known for its offbeat humor and ensemble cast, including Louise Lasser and James Caan.
  • A. Slither
    Slither is a 2006 horror-comedy film that blends grotesque alien invasion elements with dark humor and cult-movie sensibilities.
  • B. Lagarto
    Lagarto is a municipality in the Brazilian state of Sergipe, known for its agricultural activities and growing regional commerce.
  • C. The Snakes
    The Snakes is a subgroup affiliated with the Brooklyn hip-hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
  • D. Tarantula
    Tarantula is an experimental, stream-of-consciousness prose poetry book by Bob Dylan, reflecting his surreal and avant-garde literary style of the 1960s.
  • E. Tarantula
    Tarantula is a 1955 American science-fiction horror film featuring a giant mutant spider terrorizing a desert town.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53edf108190b74098b41c143a65 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6aba9688190ada4f921768e314e completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d837a5248190b0afb39174ac3922 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:50 p.m.