Triple

T16632340
Position Surface form Disambiguated ID Type / Status
Subject Plankton E404108 entity
Predicate spouse P13 FINISHED
Object Karen E30844 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: Karen | Statement: [Plankton, spouse, Karen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen
Context triple: [Plankton, spouse, Karen]
  • A. Karen
    Karen is an affluent, leafy residential suburb of Nairobi known for its large homes, green spaces, and proximity to the Ngong Hills.
  • B. Karen chosen
    Karen is a common feminine given name used in many English-speaking and European countries.
  • C. Karen
    The Karen are an indigenous ethnic group of Southeast Asia, primarily living in Myanmar and Thailand, with distinct languages, cultures, and a long history of political struggle and displacement.
  • D. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • E. Kathleen
    "Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e704c08190a28286ac12165ea5 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbe82b4819093b954567790bef7 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.