Triple

T15709440
Position Surface form Disambiguated ID Type / Status
Subject Dr. Leo Marvin E380799 entity
Predicate hasChild P369 FINISHED
Object Anna Marvin E426287 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: Anna Marvin | Statement: [Dr. Leo Marvin, hasChild, Anna Marvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Marvin
Context triple: [Dr. Leo Marvin, hasChild, Anna Marvin]
  • A. Anna Marvin chosen
    Anna Marvin is a supporting character in the 1991 comedy film "What About Bob?", appearing as one of Dr. Leo Marvin’s family members who become increasingly fond of Bob Wiley.
  • B. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • C. Edythe Chapman
    Edythe Chapman was an American stage and silent film actress known for her maternal and character roles in early Hollywood cinema.
  • D. Marilyn Vance
    Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
  • E. Jan Howard
    Jan Howard was an American country music singer and Grand Ole Opry star known for hits like "Evil on Your Mind" and her collaborations with Bill Anderson.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfb95b348190a006f699c01e85ce completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 4:45 a.m.