Triple

T19672021
Position Surface form Disambiguated ID Type / Status
Subject In a World Like This E472355 entity
Predicate producer P490 FINISHED
Object Howie Dorough 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: Howie Dorough | Statement: [In a World Like This, producer, Howie Dorough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howie Dorough
Context triple: [In a World Like This, producer, Howie Dorough]
  • A. Howie Dorough chosen
    Howie Dorough is an American singer, songwriter, and actor best known as one of the founding members of the pop vocal group Backstreet Boys.
  • B. Howie B
    Howie B is a Scottish musician, producer, and DJ known for his influential work in electronic music and collaborations with artists such as U2, Björk, and Tricky.
  • C. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • D. Howie Jr.
    Howie Jr. is a young member of the Engel family in the 2015 Christmas horror film "Krampus," known for his gluttonous and mostly silent demeanor.
  • E. Dan Howell
    Dan Howell is a British YouTuber, comedian, and presenter best known for his channel "danisnotonfire" and his collaborations with fellow creator Phil Lester.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416cb0bc8190ab27dd28eebb50e7 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.