Triple

T9720643
Position Surface form Disambiguated ID Type / Status
Subject Kristine Pedak E235455 entity
Predicate hasName P744 FINISHED
Object Kristine Pedak
Kristine Pedak is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
E235455 NE FINISHED

How this triple was built (4 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: Kristine Pedak | Statement: [Kristine Pedak, hasName, Kristine Pedak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristine Pedak
Context triple: [Kristine Pedak, hasName, Kristine Pedak]
  • A. Kristine Pedak
    Kristine Pedak is the central protagonist of the film "Once a Thief," around whom the story’s main events and conflicts revolve.
  • B. Kristen Pazik
    Kristen Pazik is an American model known for her work in fashion and for being married to Ukrainian football legend Andriy Shevchenko.
  • C. Kristie Canegallo
    Kristie Canegallo is an American government official and policy advisor who has served in senior operational and national security roles in the White House and federal administration.
  • D. Kristi Arians
    Kristi Arians is the daughter of former NFL head coach Bruce Arians.
  • E. Kristi Bonnett
    Kristi Bonnett is known as the daughter of the late NASCAR Cup Series driver Neil Bonnett.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kristine Pedak
Triple: [Kristine Pedak, hasName, Kristine Pedak]
Generated description
Kristine Pedak is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kristine Pedak
Target entity description: Kristine Pedak is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • A. Kristine Pedak chosen
    Kristine Pedak is the central protagonist of the film "Once a Thief," around whom the story’s main events and conflicts revolve.
  • B. Kristen Pazik
    Kristen Pazik is an American model known for her work in fashion and for being married to Ukrainian football legend Andriy Shevchenko.
  • C. Kristie Canegallo
    Kristie Canegallo is an American government official and policy advisor who has served in senior operational and national security roles in the White House and federal administration.
  • D. Kristi Arians
    Kristi Arians is the daughter of former NFL head coach Bruce Arians.
  • E. Kristi Bonnett
    Kristi Bonnett is known as the daughter of the late NASCAR Cup Series driver Neil Bonnett.
  • F. None of above.

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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e419c2c8190b325d5fd692c6000 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fa130548190ae729487b90fa8a7 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a0b4dbf8819097e38c253327fc10 completed April 4, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69d1a172ad848190a76f95c4937689d7 completed April 4, 2026, 11:40 p.m.
Created at: March 30, 2026, 8:20 p.m.