Triple

T13049729
Position Surface form Disambiguated ID Type / Status
Subject Molly Jensen E327418 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Oda Mae Brown E140001 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: Oda Mae Brown | Statement: [Molly Jensen, associatedWithCharacter, Oda Mae Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oda Mae Brown
Context triple: [Molly Jensen, associatedWithCharacter, Oda Mae Brown]
  • A. Oda Mae Brown chosen
    Oda Mae Brown is a comedic, reluctant psychic medium who becomes the key ally in helping a murdered man communicate with his grieving girlfriend in the film "Ghost."
  • B. Alathea Howard
    Alathea Howard was an English noblewoman of the early 17th century, best known as the wife of Parliamentarian general Thomas Fairfax, 2nd Lord Fairfax of Cameron.
  • C. Vivian Moore
    Vivian Moore is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Moore.
  • D. Florence Rabe
    Florence Rabe, better known by her stage name Florence Bates, was an American character actress prominent in Hollywood films of the 1940s.
  • E. Dorothy Malone
    Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fdd04c8190a86dbba1b81c8e6b completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:57 p.m.