Triple

T12943789
Position Surface form Disambiguated ID Type / Status
Subject Coy Harlingen E309706 entity
Predicate associatedWith P37 FINISHED
Object Amethyst Harlingen E1011919 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: Amethyst Harlingen | Statement: [Coy Harlingen, associatedWith, Amethyst Harlingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amethyst Harlingen
Context triple: [Coy Harlingen, associatedWith, Amethyst Harlingen]
  • A. Amethyst Harlingen chosen
    Amethyst Harlingen is a fictional character appearing in Thomas Pynchon's novel "Inherent Vice," known as the daughter of Coy Harlingen.
  • B. Seelbach
    Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
  • C. Wilhelmina Rise
    Wilhelmina Rise is a steep residential neighborhood in Honolulu, Hawaii, known for its hillside homes and panoramic views over the city and ocean.
  • D. Wassenberg
    Wassenberg is a historic town in western Germany near the Dutch border, known for its medieval origins and association with the noble House of Wassenberg.
  • E. Demer
    Demer is a river in Belgium that flows through the provinces of Limburg and Flemish Brabant before joining the Dijle.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1a28688190ab9fd1307bc76b4a completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d9669c819090471eb7e035d83d completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:43 p.m.