Triple

T8391578
Position Surface form Disambiguated ID Type / Status
Subject Jimmy Palmer E197954 entity
Predicate closeColleague P11349 FINISHED
Object Donald Mallard E722684 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: Donald Mallard | Statement: [Jimmy Palmer, closeColleague, Donald Mallard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Mallard
Context triple: [Jimmy Palmer, closeColleague, Donald Mallard]
  • A. Donald Mallard chosen
    Donald "Ducky" Mallard is the eccentric and highly knowledgeable chief medical examiner for NCIS in the television series NCIS.
  • B. Mel Sharples
    Mel Sharples is a gruff but good-hearted diner owner and cook from the sitcom "Alice," known for his no-nonsense attitude and catchphrase, "Stow it!"
  • C. Merrill De Maris
    Merrill De Maris was an American screenwriter and story artist for Walt Disney Studios, best known for co-writing the screenplay for the landmark animated feature "Snow White and the Seven Dwarfs."
  • D. Pierpont Mauler
    Pierpont Mauler is a powerful meatpacking magnate and symbolic capitalist figure in Bertolt Brecht’s play "Saint Joan of the Stockyards."
  • E. J. Carrol Naish
    J. Carrol Naish was an American character actor known for his prolific film career from the 1930s to the 1960s, often portraying ethnically diverse roles and earning multiple Academy Award nominations.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d1ffa988190a7b0a6b1017e144d completed April 2, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:03 p.m.