Triple

T2657956
Position Surface form Disambiguated ID Type / Status
Subject The Revenant E54659 entity
Predicate basedOnAuthor P2806 FINISHED
Object Michael Punke
Michael Punke is an American writer, attorney, and former U.S. trade official best known as the author of the frontier survival novel "The Revenant."
 E291084 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: Michael Punke | Statement: [The Revenant, basedOnAuthor, Michael Punke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Punke
Context triple: [The Revenant, basedOnAuthor, Michael Punke]
  • A. Dan Jewett
    Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
  • B. Philip Dunne
    Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
  • C. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • D. Daniel Wallace
    Daniel Wallace is an American novelist best known for his whimsical, magical-realist work "Big Fish," which was later adapted into a popular film and stage musical.
  • E. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • 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: Michael Punke
Triple: [The Revenant, basedOnAuthor, Michael Punke]
Generated description
Michael Punke is an American writer, attorney, and former U.S. trade official best known as the author of the frontier survival novel "The Revenant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Punke
Target entity description: Michael Punke is an American writer, attorney, and former U.S. trade official best known as the author of the frontier survival novel "The Revenant."
  • A. Dan Jewett
    Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
  • B. Philip Dunne
    Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
  • C. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • D. Daniel Wallace
    Daniel Wallace is an American novelist best known for his whimsical, magical-realist work "Big Fish," which was later adapted into a popular film and stage musical.
  • E. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94c61a08190bdf5e1caeff3e788 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf4d70388190b6f0e683c77bc262 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afafddb2a081909b891eed7ba5411d completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb10304488190a1129efae36b3c4e completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:53 p.m.