Triple

T20918489
Position Surface form Disambiguated ID Type / Status
Subject Who’s the Man? E515139 entity
Predicate screenwriter P2831 FINISHED
Object Seth Greenland
Seth Greenland is an American novelist, playwright, and screenwriter known for his darkly comic works exploring contemporary social and political themes.
E1458906 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: Seth Greenland | Statement: [Who’s the Man?, screenwriter, Seth Greenland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Greenland
Context triple: [Who’s the Man?, screenwriter, Seth Greenland]
  • A. Seth Reiss
    Seth Reiss is an American comedy writer and screenwriter known for his work on satirical television and film, including co-writing the dark comedy thriller "The Menu."
  • B. Seth Lochhead
    Seth Lochhead is a Canadian screenwriter best known for co-writing the action thriller film "Hanna" (2011).
  • C. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • D. Colin Kroll
    Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
  • E. Seth Neddermeyer
    Seth Neddermeyer was an American physicist best known for pioneering the implosion method used in the plutonium bomb during the Manhattan Project.
  • 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: Seth Greenland
Triple: [Who’s the Man?, screenwriter, Seth Greenland]
Generated description
Seth Greenland is an American novelist, playwright, and screenwriter known for his darkly comic works exploring contemporary social and political themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seth Greenland
Target entity description: Seth Greenland is an American novelist, playwright, and screenwriter known for his darkly comic works exploring contemporary social and political themes.
  • A. Seth Reiss
    Seth Reiss is an American comedy writer and screenwriter known for his work on satirical television and film, including co-writing the dark comedy thriller "The Menu."
  • B. Seth Lochhead
    Seth Lochhead is a Canadian screenwriter best known for co-writing the action thriller film "Hanna" (2011).
  • C. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • D. Colin Kroll
    Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
  • E. Seth Neddermeyer
    Seth Neddermeyer was an American physicist best known for pioneering the implosion method used in the plutonium bomb during the Manhattan Project.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec647028819082031eb706a62ad5 completed April 21, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09277ef8f08190ab2e1eabb420bb3b completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0928a53e3c8190a8e636f5f1387f73 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929485ebc8190ab8bc316b3e802ca completed May 17, 2026, 2:34 a.m.
Created at: April 16, 2026, 12:48 p.m.