Triple

T15368791
Position Surface form Disambiguated ID Type / Status
Subject Mark "Chopper" Read E367486 entity
Predicate spouse P13 FINISHED
Object Margaret Cassar
Margaret Cassar is known as the wife of notorious Australian criminal and author Mark "Chopper" Read.
 E1155696 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: Margaret Cassar | Statement: [Mark "Chopper" Read, spouse, Margaret Cassar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Cassar
Context triple: [Mark "Chopper" Read, spouse, Margaret Cassar]
  • A. Margaret Simon
    Margaret Simon is the preteen protagonist of Judy Blume’s classic coming-of-age novel, navigating puberty, friendship, and questions of religious identity.
  • B. Margaret Ménégoz
    Margaret Ménégoz is a French film producer known for her work on acclaimed European art-house films, including Wim Wenders' "Paris, Texas."
  • C. Catherine Moses
    Catherine Moses was the sister of famed American sharpshooter and exhibition shooter Annie Oakley.
  • D. Margaret Mazzantini
    Margaret Mazzantini is an Italian novelist, playwright, and actress best known internationally for her award-winning novels such as "Don't Move."
  • E. Jane Brucker
    Jane Brucker is an American actress best known for playing Lisa Houseman, the protagonist’s older sister, in the classic 1987 film "Dirty Dancing."
  • 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: Margaret Cassar
Triple: [Mark "Chopper" Read, spouse, Margaret Cassar]
Generated description
Margaret Cassar is known as the wife of notorious Australian criminal and author Mark "Chopper" Read.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margaret Cassar
Target entity description: Margaret Cassar is known as the wife of notorious Australian criminal and author Mark "Chopper" Read.
  • A. Margaret Simon
    Margaret Simon is the preteen protagonist of Judy Blume’s classic coming-of-age novel, navigating puberty, friendship, and questions of religious identity.
  • B. Margaret Ménégoz
    Margaret Ménégoz is a French film producer known for her work on acclaimed European art-house films, including Wim Wenders' "Paris, Texas."
  • C. Catherine Moses
    Catherine Moses was the sister of famed American sharpshooter and exhibition shooter Annie Oakley.
  • D. Margaret Mazzantini
    Margaret Mazzantini is an Italian novelist, playwright, and actress best known internationally for her award-winning novels such as "Don't Move."
  • E. Jane Brucker
    Jane Brucker is an American actress best known for playing Lisa Houseman, the protagonist’s older sister, in the classic 1987 film "Dirty Dancing."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4b88a881909f9575c02aed287d completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6991148190b522684b35c07b1a completed May 9, 2026, 11:28 a.m.
NEDg Description generation batch_69ff1b3c563481908418411a977df343 completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1c0ad5448190903dc38f78512f3b completed May 9, 2026, 11:35 a.m.
Created at: April 10, 2026, 3:18 a.m.