Triple

T3009887
Position Surface form Disambiguated ID Type / Status
Subject Uncharted (film) E81989 entity
Predicate basedOnCharacter P2004 FINISHED
Object Nathan Drake E317579 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: Nathan Drake | Statement: [Uncharted (film), basedOnCharacter, Nathan Drake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Drake
Context triple: [Uncharted (film), basedOnCharacter, Nathan Drake]
  • A. Nathan Drake chosen
    Nathan Drake is a charismatic treasure hunter and adventurer best known as the protagonist of the Uncharted video game series and its film adaptation.
  • B. Rick O’Connell
    Rick O’Connell is the adventurous, wisecracking American explorer and former soldier who serves as the main hero of The Mummy film series.
  • C. Desmond
    Desmond is a masculine given name most famously associated with South African archbishop and anti-apartheid activist Desmond Tutu.
  • D. John Kenway
    John Kenway is a cinematographer best known for his work on the acclaimed 1995 television adaptation of Jane Austen's "Pride and Prejudice."
  • E. Indiana Jones
    Indiana Jones is a fictional archaeologist-adventurer known for his iconic fedora, bullwhip, and globe-trotting quests for ancient artifacts in the Indiana Jones film series.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4ccbf08190a7580c9e758804d0 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea6b460819087d7186efc901ef2 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.