Triple

T14627675
Position Surface form Disambiguated ID Type / Status
Subject Mamma Mia! 2: Here We Go Again E343393 entity
Predicate stars P1956 FINISHED
Object Josh Dylan E264298 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: Josh Dylan | Statement: [Mamma Mia! 2: Here We Go Again, stars, Josh Dylan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Dylan
Context triple: [Mamma Mia! 2: Here We Go Again, stars, Josh Dylan]
  • A. Josh Dylan chosen
    Josh Dylan is a British actor best known for his role as young Bill in the film "Mamma Mia! Here We Go Again."
  • B. Duncan Sheik
    Duncan Sheik is an American singer-songwriter and composer best known for his hit single "Barely Breathing" and his Tony Award-winning score for the Broadway musical Spring Awakening.
  • C. Dan Baum
    Dan Baum is an American entrepreneur best known as the founder of the online photo services company Shutterfly.
  • D. David McNally
    David McNally is a film director best known for helming the 2000 romantic musical drama "Coyote Ugly."
  • E. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a7c8fc81909d10c1f563d7d1e7 completed April 14, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92c25ac8190ba931c009e7ace19 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.