Triple

T8153397
Position Surface form Disambiguated ID Type / Status
Subject Unreal Unearth E190383 entity
Predicate hasSingle P3282 FINISHED
Object Eat Your Young E190380 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: Eat Your Young | Statement: [Unreal Unearth, hasSingle, Eat Your Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eat Your Young
Context triple: [Unreal Unearth, hasSingle, Eat Your Young]
  • A. Eat Your Young chosen
    "Eat Your Young" is a 2023 song by Irish musician Hozier that blends soulful vocals with dark, socially charged lyrics.
  • B. Eat It
    "Eat It" is a 1984 comedy parody song by "Weird Al" Yankovic that humorously imitates Michael Jackson's "Beat It" by focusing on picky eating and food-related jokes.
  • C. Eat Me
    Eat Me is a provocative 1975 experimental film and installation piece by Brazilian artist Lygia Pape that critiques consumer culture, sexuality, and the commodification of the female body.
  • D. Eat My Heart Out
    Eat My Heart Out is a darkly comic, feminist coming-of-age novel by British writer and critic Zoe Pilger that follows a young woman’s chaotic search for identity, love, and meaning in contemporary London.
  • E. Youth Without Youth
    Youth Without Youth is a 2007 philosophical fantasy drama film written and directed by Francis Ford Coppola, adapted from Mircea Eliade’s novella about an elderly linguistics professor who becomes mysteriously rejuvenated after being struck by lightning.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced3839b4819081a811fcebc51ff7 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:37 p.m.