Triple

T3321687
Position Surface form Disambiguated ID Type / Status
Subject The Mirror Crack'd E69808 entity
Predicate editor P1954 FINISHED
Object Richard Marden E214557 NE FINISHED

How this triple was built (2 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: Richard Marden | Statement: [The Mirror Crack'd, editor, Richard Marden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Marden
Context triple: [The Mirror Crack'd, editor, Richard Marden]
  • A. Richard Marden chosen
    Richard Marden was a British film editor known for his work on notable mid-20th-century films, including adaptations of classic literature.
  • B. Scott Arfield
    Scott Arfield is a professional footballer, best known as a midfielder who represented the Canadian national team after previously playing for Scotland at youth level and having a long club career in Scotland and England.
  • C. John Ales
    John Ales is an American actor known for his character roles in film and television, including a notable appearance in the comedy film "The Nutty Professor" (1996).
  • D. Sam Weaving
    Sam Weaving is a child of acclaimed actor Hugo Weaving, known for his roles in films such as "The Matrix" and "The Lord of the Rings."
  • E. Michael Pugh
    Michael Pugh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13d13a88190828d9a03fd0865ce completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3545abce08190860566592e4e2239 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:11 p.m.