Triple

T2385897
Position Surface form Disambiguated ID Type / Status
Subject Kingsman: The Golden Circle E48821 entity
Predicate producer P490 FINISHED
Object Adam Bohling E77284 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: Adam Bohling | Statement: [Kingsman: The Golden Circle, producer, Adam Bohling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Bohling
Context triple: [Kingsman: The Golden Circle, producer, Adam Bohling]
  • A. Adam Bohling chosen
    Adam Bohling is a British film producer known for his work on high-profile action and genre films, including the Kingsman series.
  • B. Trent Baalke
    Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
  • C. Kyle Vogt
    Kyle Vogt is an American entrepreneur and engineer best known as the co-founder and former CEO of the self-driving car company Cruise and earlier as a co-founder of the live-streaming platform Twitch.
  • D. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • E. Chris Stolte
    Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7d8a918819089a210e74e13be6e completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20321518c8190a221620074f3428b completed March 12, 2026, 12:04 a.m.
Created at: March 4, 2026, 7:57 p.m.