Triple

T14198717
Position Surface form Disambiguated ID Type / Status
Subject Loreley Rock E351907 entity
Predicate nameVariant P744 FINISHED
Object Lorelei E622262 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: Lorelei | Statement: [Loreley Rock, nameVariant, Lorelei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorelei
Context triple: [Loreley Rock, nameVariant, Lorelei]
  • A. Lorelei
    Lorelei is a 1974 Broadway musical comedy, adapted from "Gentlemen Prefer Blondes," featuring music by composer Jule Styne and starring Carol Channing.
  • B. Die Lorelei chosen
    Die Lorelei is a famous German Romantic poem by Heinrich Heine that tells of a bewitching siren on the Rhine whose song lures sailors to their doom.
  • C. Ondine
    Ondine was a prominent American actor and Warhol superstar known for his eccentric performances in Andy Warhol’s underground films of the 1960s.
  • D. Ondine
    Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • E. Ondine
    Ondine is a 1954 Broadway play by Jean Giraudoux, adapted by Maurice Valency, in which Audrey Hepburn gave an acclaimed, Tony-winning performance as a water nymph.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194d14008190a74021ff5a3e51d1 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.