Triple

T5072093
Position Surface form Disambiguated ID Type / Status
Subject Mad Max E114304 entity
Predicate starring P1507 FINISHED
Object Tim Burns
Tim Burns is an actor best known for his role in the original 1979 Australian action film "Mad Max."
 E491528 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: Tim Burns | Statement: [Mad Max, starring, Tim Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tim Burns
Context triple: [Mad Max, starring, Tim Burns]
  • A. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • B. Anthony Rogers
    Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
  • C. Brian McMahan
    Brian McMahan is an American guitarist and vocalist best known as a founding member of the influential post-rock band Slint.
  • D. Dave Hall
    Dave Hall is a fantasy author known for creating imaginative, otherworldly stories within the speculative fiction genre.
  • E. Dave Hall
    Dave Hall is a music producer best known for his influential work in 1990s R&B and hip-hop, collaborating with major artists such as Mary J. Blige and Madonna.
  • 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: Tim Burns
Triple: [Mad Max, starring, Tim Burns]
Generated description
Tim Burns is an actor best known for his role in the original 1979 Australian action film "Mad Max."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tim Burns
Target entity description: Tim Burns is an actor best known for his role in the original 1979 Australian action film "Mad Max."
  • A. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • B. Anthony Rogers
    Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
  • C. Brian McMahan
    Brian McMahan is an American guitarist and vocalist best known as a founding member of the influential post-rock band Slint.
  • D. Dave Hall
    Dave Hall is a fantasy author known for creating imaginative, otherworldly stories within the speculative fiction genre.
  • E. Dave Hall
    Dave Hall is a music producer best known for his influential work in 1990s R&B and hip-hop, collaborating with major artists such as Mary J. Blige and Madonna.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74ce140881909a2874663244c0db completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1110a388190a5db1c94b3d60d6b completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb186dfa88190bd4cc76247a64ff1 completed March 21, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69beb1f3c7b88190a3c4e6bcd8714808 completed March 21, 2026, 2:57 p.m.
Created at: March 20, 2026, 1:39 p.m.