Triple

T8972625
Position Surface form Disambiguated ID Type / Status
Subject Lenny Abrahamson E214303 entity
Predicate familyName P18 FINISHED
Object Abrahamson E743404 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: Abrahamson | Statement: [Lenny Abrahamson, familyName, Abrahamson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abrahamson
Context triple: [Lenny Abrahamson, familyName, Abrahamson]
  • A. Abrahamson chosen
    Abrahamson is a surname of Scandinavian origin borne by various notable individuals in fields such as science, the military, and the arts.
  • B. Abramson
    Abramson is a Jewish Ashkenazi patronymic surname derived from the given name Abram or Abraham, meaning "son of Abram/Abraham."
  • C. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • D. Abrahams
    Abrahams is a surname most notably associated with Harold Abrahams, the British Olympic sprinter portrayed in the film "Chariots of Fire."
  • E. Eisenberg
    Eisenberg is a small town in the German state of Thuringia that serves as an administrative and cultural center for its surrounding rural district.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc678242908190a32a73423319ebb3 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9632afc8190a4dc14d33e8757ee completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:02 p.m.