Triple

T22395918
Position Surface form Disambiguated ID Type / Status
Subject Love and Monsters E553628 entity
Predicate starring P1507 FINISHED
Object Dylan O'Brien 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: Dylan O'Brien | Statement: [Love and Monsters, starring, Dylan O'Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan O'Brien
Context triple: [Love and Monsters, starring, Dylan O'Brien]
  • A. Dylan O'Brien chosen
    Dylan O'Brien is an American actor best known for starring in the "Maze Runner" film series and the TV show "Teen Wolf."
  • B. Declan Whitebloom
    Declan Whitebloom is a British music video director known for his visually polished work with major pop artists.
  • C. Logan Lerman
    Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
  • D. Caleb Landry Jones
    Caleb Landry Jones is an American actor and musician known for his intense, often unsettling performances in films such as "Get Out," "Three Billboards Outside Ebbing, Missouri," and "Nitram."
  • E. Joel McKinnon Miller
    Joel McKinnon Miller is an American character actor best known for playing the affable Detective Norm Scully on the television comedy series "Brooklyn Nine-Nine."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585e84b081908c95ed3e0d987ed8 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.