Triple

T25139792
Position Surface form Disambiguated ID Type / Status
Subject Ambush E629768 entity
Predicate actorForMaryCarlyle P9616 FINISHED
Object Arlene Dahl NE NERFINISHED

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: Arlene Dahl | Statement: [Ambush, actorForMaryCarlyle, Arlene Dahl]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: actorForMaryCarlyle
Context triple: [Ambush, actorForMaryCarlyle, Arlene Dahl]
  • A. ElizabethAction
    Indicates that Elizabeth performs, initiates, or is responsible for a particular action or activity in relation to other entities.
  • B. Jack Hively
    Indicates a relationship or action involving the person named Jack Hively, such as authorship, direction, or participation in a work or event.
  • C. playedBy chosen
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • D. MaryAstorRole
    Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
  • E. roleOfCarmen Pavlovic
    Indicates that the specified role or position is held or performed by Carmen Pavlovic.
  • F. None of above.

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_69e2ff338250819096ff6c8892804389 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f468475218819089b73a0d2e072110 completed May 1, 2026, 8:45 a.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:29 a.m.