Triple

T14809096
Position Surface form Disambiguated ID Type / Status
Subject Adrian Monk E348124 entity
Predicate associatedWith P37 FINISHED
Object Natalie Teeger E447948 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: Natalie Teeger | Statement: [Adrian Monk, associatedWith, Natalie Teeger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natalie Teeger
Context triple: [Adrian Monk, associatedWith, Natalie Teeger]
  • A. Natalie Teeger chosen
    Natalie Teeger is a main character on the television series "Monk," serving as Adrian Monk’s loyal assistant and later becoming his close friend and confidante.
  • B. Natalie Keener
    Natalie Keener is a young, ambitious corporate downsizing consultant in the film "Up in the Air," whose modern, efficiency-driven outlook clashes with and ultimately reshapes Ryan Bingham’s worldview.
  • C. Natalie Holt
    Natalie Holt is a British composer and violinist known for her acclaimed scores for television and film, including major franchises in the Star Wars and Marvel universes.
  • D. Natalie Quillian
    Natalie Quillian is an American political advisor and strategist who has held senior roles in the Biden administration, including serving in top White House leadership.
  • E. Natalie Green
    Natalie Green is a cheerful, quick-witted student and aspiring writer who serves as one of the core teen characters on the classic TV sitcom "The Facts of Life."
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff78dab488190a89b9eb4f648b36c completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 1:45 a.m.