Triple

T1016655
Position Surface form Disambiguated ID Type / Status
Subject Abraham Rycken E21944 entity
Predicate hasNameVariant P457 FINISHED
Object Abraham Rycken (Riker) E21944 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: Abraham Rycken (Riker) | Statement: [Abraham Rycken, hasNameVariant, Abraham Rycken (Riker)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraham Rycken (Riker)
Context triple: [Abraham Rycken, hasNameVariant, Abraham Rycken (Riker)]
  • A. Abraham Rycken (Riker) chosen
    Abraham Rycken (Riker) was a 17th-century Dutch settler in New Netherland whose family name gave rise to the name of Rikers Island in New York City.
  • B. Sam De Grasse
    Sam De Grasse was a Canadian-born silent film actor best known for his villainous roles in early Hollywood adventure and drama films.
  • C. Ralph Malph
    Ralph Malph is a wisecracking, redheaded teenager known for his corny jokes and nervous humor on the classic TV sitcom "Happy Days."
  • D. Albert Dekker
    Albert Dekker was an American character actor known for his prolific film, stage, and television career from the 1930s to the 1960s, often playing complex or villainous roles.
  • E. Marvin Jacobs
    Marvin Jacobs was an entrepreneur best known as a founder of the global hospitality and food service company Delaware North.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c1e9d08190baf7e81f3777168d completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb1b0bc819095af3b50bfebca1e completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.