Triple

T16049085
Position Surface form Disambiguated ID Type / Status
Subject Mikael Boghosian E389303 entity
Predicate familyName P18 FINISHED
Object Boghosian E1183069 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: Boghosian | Statement: [Mikael Boghosian, familyName, Boghosian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boghosian
Context triple: [Mikael Boghosian, familyName, Boghosian]
  • A. Boghosian chosen
    Boghosian is an Armenian-origin surname borne by various individuals across fields such as art, sports, and public life.
  • B. Grunberg
    Grunberg is a surname most notably associated with American actor Greg Grunberg, known for his roles in television series such as "Heroes" and "Alias."
  • C. Mikael Boghosian
    Mikael Boghosian is the Armenian medical student protagonist of the 2016 historical drama film "The Promise," whose experiences depict the human impact of the Armenian Genocide.
  • D. Gershe
    Gershe is a surname most notably associated with Leonard Gershe, an American playwright, screenwriter, and lyricist.
  • E. Vigoda
    Vigoda is a surname most famously associated with American character actor Abe Vigoda, known for his roles in "The Godfather" and the TV series "Barney Miller."
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18361083c8190abc84534265dc992 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe095908190ba10399ad6f3b5f8 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.