Triple

T11990572
Position Surface form Disambiguated ID Type / Status
Subject Jacob Portman E285392 entity
Predicate hasLoveInterest P7325 FINISHED
Object Emma Bloom E285394 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: Emma Bloom | Statement: [Jacob Portman, hasLoveInterest, Emma Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Bloom
Context triple: [Jacob Portman, hasLoveInterest, Emma Bloom]
  • A. Emma Bloom chosen
    Emma Bloom is a central peculiar child in "Miss Peregrine's Home for Peculiar Children," known for her ability to manipulate air and her role as a brave, resourceful ally to the protagonist.
  • B. Aimee Blake
    Aimee Blake is a fictional character from the British television drama series "The Humans."
  • C. Samantha Maloney
    Samantha Maloney is an American rock drummer best known for her work with bands such as Hole, Mötley Crüe, and Eagles of Death Metal.
  • D. Lisa Fischer
    Lisa Fischer is an American vocalist renowned for her powerful backing and solo performances, particularly her work with the Rolling Stones and her Grammy-winning solo career.
  • E. Jenny Bicks
    Jenny Bicks is an American television and film writer and producer known for her work on series like "Sex and the City" and "The Big C" as well as feature films.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903afe4388190a2cf2328e85adf9b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48abcf2588190a44e6e31e045b356 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.