Triple

T1408267
Position Surface form Disambiguated ID Type / Status
Subject Deuces Wild E31745 entity
Predicate starring P1507 FINISHED
Object Max Perlich
Max Perlich is an American character actor known for his offbeat, often quirky supporting roles in independent films and television series since the late 1980s.
 E173979 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: Max Perlich | Statement: [Deuces Wild, starring, Max Perlich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Max Perlich
Context triple: [Deuces Wild, starring, Max Perlich]
  • A. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • B. Michael Gaeta
    Michael Gaeta is a film producer best known for his work on genre movies, including the 2011 remake of the horror-comedy "Fright Night."
  • C. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • D. Mark Rosenberg
    Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
  • E. Scott Young
    Scott Young was a Canadian journalist and author best known for his sports writing and as the father of musician Neil Young.
  • 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: Max Perlich
Triple: [Deuces Wild, starring, Max Perlich]
Generated description
Max Perlich is an American character actor known for his offbeat, often quirky supporting roles in independent films and television series since the late 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Max Perlich
Target entity description: Max Perlich is an American character actor known for his offbeat, often quirky supporting roles in independent films and television series since the late 1980s.
  • A. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • B. Michael Gaeta
    Michael Gaeta is a film producer best known for his work on genre movies, including the 2011 remake of the horror-comedy "Fright Night."
  • C. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • D. Mark Rosenberg
    Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
  • E. Scott Young
    Scott Young was a Canadian journalist and author best known for his sports writing and as the father of musician Neil Young.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bf7f0c8190aee96818de6ff4a5 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293cb8f0819085bea7914abf0683 completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a3deb488190a09c23c0e5b419e6 completed March 8, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a9e50888190bab83785f11135ea completed March 8, 2026, 7:51 a.m.
Created at: March 1, 2026, 7:59 p.m.