Triple

T10285199
Position Surface form Disambiguated ID Type / Status
Subject The Strange Love of Martha Ivers E241208 entity
Predicate barbaraStanwyckRole P93254 FINISHED
Object Martha Ivers E854717 NE FINISHED

How this triple was built (3 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: Martha Ivers | Statement: [The Strange Love of Martha Ivers, barbaraStanwyckRole, Martha Ivers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Ivers
Context triple: [The Strange Love of Martha Ivers, barbaraStanwyckRole, Martha Ivers]
  • A. Martha Ivers chosen
    Martha Ivers is the central, morally complex heiress and femme fatale in the 1946 film noir "The Strange Love of Martha Ivers."
  • B. Martha Huggins
    Martha Huggins is an actress best known for her role in the classic film "The Ghost and Mrs. Muir."
  • C. Martha West
    Martha West is an actress known for her role in the British television drama series "Creation."
  • D. Martha Dix
    Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
  • E. Martha Love
    Martha Love was a benefactor whose support and legacy are honored through the naming of the Martha and Spencer Love School of Business.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: barbaraStanwyckRole
Context triple: [The Strange Love of Martha Ivers, barbaraStanwyckRole, Martha Ivers]
  • A. MarilynMonroeRoleType
    Indicates the type or category of role associated with Marilyn Monroe in a given context.
  • B. hasGingerRogersRole
    Indicates that an entity is assigned or associated with a role specifically identified as the "Ginger Rogers" role in a given context or production.
  • C. DeborahKerrRole
    Indicates that the specified role is one played or portrayed by Deborah Kerr.
  • D. AvaGardnerRole
    Indicates that an entity represents a role or character portrayed by Ava Gardner in a film, television production, or other performance.
  • E. leadActress
    Indicates that the subject is the primary female performer in the specified film, show, or production.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750097f1c8190a4b04e3758c89aae completed April 9, 2026, 7:06 a.m.
PD Predicate disambiguation batch_69d4d1f117708190928f92ae2611d724 completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d7cada7881908beba55a1dc9ecb9 completed April 7, 2026, 10:09 a.m.
Created at: April 6, 2026, 11:40 a.m.