Triple

T7906328
Position Surface form Disambiguated ID Type / Status
Subject Ernest Menville E183585 entity
Predicate caughtBetween P79702 FINISHED
Object Madeline Ashton E244061 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: Madeline Ashton | Statement: [Ernest Menville, caughtBetween, Madeline Ashton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeline Ashton
Context triple: [Ernest Menville, caughtBetween, Madeline Ashton]
  • A. Madeline Ashton chosen
    Madeline Ashton is a vain, aging Hollywood actress whose obsession with youth and beauty leads her to drink a magical potion granting eternal life in the dark comedy film "Death Becomes Her."
  • B. Madeline Wuntch
    Madeline Wuntch is a high-ranking NYPD official and recurring antagonist in the sitcom "Brooklyn Nine-Nine," known for her long-running professional feud with Captain Raymond Holt.
  • C. Madeline Will
    Madeline Will is the wife of American conservative political commentator and columnist George F. Will.
  • D. Madeline Stavely
    Madeline Stavely is a central fictional character in Anthony Trollope’s novel "Orley Farm," around whom much of the story’s emotional and social drama revolves.
  • E. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • 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: caughtBetween
Context triple: [Ernest Menville, caughtBetween, Madeline Ashton]
  • A. trappedDuring
    Indicates that one entity is confined, caught, or immobilized while a specified event or situation is occurring.
  • B. trap
    Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
  • C. heldCaptive
    Indicates that one entity is being forcibly confined or restrained by another, preventing their freedom of movement or escape.
  • D. encountered
    Indicates that one entity came across or met another entity, typically in a specific place or context, often unexpectedly or during the course of some activity.
  • E. catches
    Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a5871b8819087ad69c116c40091 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33b7c0c48190bc3c1b97aee0b741 completed April 1, 2026, 3:03 p.m.
PD Predicate disambiguation batch_69cae92f9498819085277879e59aa072 completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf7882b048190baa333af9f698590 completed March 30, 2026, 10:22 p.m.
Created at: March 30, 2026, 5:03 p.m.