Triple

T8515513
Position Surface form Disambiguated ID Type / Status
Subject Hugh Keays-Byrne E201562 entity
Predicate notableRole P22 FINISHED
Object Toecutter
Toecutter is the sadistic gang leader and primary antagonist in the 1979 Australian dystopian action film "Mad Max."
 E738826 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: Toecutter | Statement: [Hugh Keays-Byrne, notableRole, Toecutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toecutter
Context triple: [Hugh Keays-Byrne, notableRole, Toecutter]
  • A. The Toe
    The Toe was the nickname of Lou Groza, a Hall of Fame Cleveland Browns offensive tackle and pioneering placekicker renowned for his powerful and accurate kicking.
  • B. Tip-Toes
    Tip-Toes is a 1925 musical comedy with music by George Gershwin and a book co-written by Guy Bolton, known for its jazzy score and lighthearted, romantic plot.
  • C. The Shoe
    The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
  • D. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • E. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • 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: Toecutter
Triple: [Hugh Keays-Byrne, notableRole, Toecutter]
Generated description
Toecutter is the sadistic gang leader and primary antagonist in the 1979 Australian dystopian action film "Mad Max."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toecutter
Target entity description: Toecutter is the sadistic gang leader and primary antagonist in the 1979 Australian dystopian action film "Mad Max."
  • A. The Toe
    The Toe was the nickname of Lou Groza, a Hall of Fame Cleveland Browns offensive tackle and pioneering placekicker renowned for his powerful and accurate kicking.
  • B. Tip-Toes
    Tip-Toes is a 1925 musical comedy with music by George Gershwin and a book co-written by Guy Bolton, known for its jazzy score and lighthearted, romantic plot.
  • C. The Shoe
    The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
  • D. Tukker
    Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
  • E. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60f37b0819082ae14e539f57b56 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e5dbb3c81909157e6b04a4956af completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffac8a08190bc2131c0d260ca39 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce5117c7508190b74821d029d226c6 completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:15 p.m.