Triple

T8607355
Position Surface form Disambiguated ID Type / Status
Subject The Hurricane Express E203832 entity
Predicate starring P1507 FINISHED
Object Matthew Betz
Matthew Betz was an American character actor of the silent and early sound film era, often cast in tough or villainous roles in numerous serials and B-movies.
E748472 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: Matthew Betz | Statement: [The Hurricane Express, starring, Matthew Betz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Betz
Context triple: [The Hurricane Express, starring, Matthew Betz]
  • A. Scott Beatty
    Scott Beatty is an American comic book writer and editor known for his work on DC Comics titles, particularly various Batman-related series and reference guides.
  • B. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • C. Matthew Rolph
    Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
  • D. Matthew Skemp
    Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
  • E. Brendan Bechtel
    Brendan Bechtel is an American business executive who serves as the chairman and CEO of Bechtel Corporation, one of the world’s largest engineering and construction companies.
  • 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: Matthew Betz
Triple: [The Hurricane Express, starring, Matthew Betz]
Generated description
Matthew Betz was an American character actor of the silent and early sound film era, often cast in tough or villainous roles in numerous serials and B-movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matthew Betz
Target entity description: Matthew Betz was an American character actor of the silent and early sound film era, often cast in tough or villainous roles in numerous serials and B-movies.
  • A. Scott Beatty
    Scott Beatty is an American comic book writer and editor known for his work on DC Comics titles, particularly various Batman-related series and reference guides.
  • B. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • C. Matthew Rolph
    Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
  • D. Matthew Skemp
    Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
  • E. Brendan Bechtel
    Brendan Bechtel is an American business executive who serves as the chairman and CEO of Bechtel Corporation, one of the world’s largest engineering and construction companies.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46eabe2c8190a2d13c353055a785 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc8b99cc8190b319a435f456ec05 completed April 2, 2026, 8:07 p.m.
NEDg Description generation batch_69cece8c4bdc8190988990c675f50f86 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf3a0e78819082cc7c43eceae309 completed April 2, 2026, 8:19 p.m.
Created at: March 30, 2026, 6:25 p.m.