Triple

T16190728
Position Surface form Disambiguated ID Type / Status
Subject Eric Bogosian E392931 entity
Predicate familyName P18 FINISHED
Object Bogosian
Bogosian is a surname most notably associated with American actor, playwright, and novelist Eric Bogosian.
 E1199128 NE FINISHED

How this triple was built (4 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: Bogosian | Statement: [Eric Bogosian, familyName, Bogosian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bogosian
Context triple: [Eric Bogosian, familyName, Bogosian]
  • A. Bogo
    Bogo is an alternative name for the Bilen people, an ethnic group primarily living in Eritrea.
  • B. Bogo
    Bogo is a component city located in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding municipalities and islands.
  • C. Bazargic
    Bazargic is the historical name of the city now known as Dobrich, a major urban center in northeastern Bulgaria.
  • D. Blargg
    Blargg is a lava-dwelling, fire-resistant enemy creature from the Super Mario video game series that emerges from molten pools to attack the player.
  • E. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bogosian
Triple: [Eric Bogosian, familyName, Bogosian]
Generated description
Bogosian is a surname most notably associated with American actor, playwright, and novelist Eric Bogosian.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bogosian
Target entity description: Bogosian is a surname most notably associated with American actor, playwright, and novelist Eric Bogosian.
  • A. Bogo
    Bogo is an alternative name for the Bilen people, an ethnic group primarily living in Eritrea.
  • B. Bogo
    Bogo is a component city located in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding municipalities and islands.
  • C. Bazargic
    Bazargic is the historical name of the city now known as Dobrich, a major urban center in northeastern Bulgaria.
  • D. Blargg
    Blargg is a lava-dwelling, fire-resistant enemy creature from the Super Mario video game series that emerges from molten pools to attack the player.
  • E. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • F. None of above. chosen

Provenance (5 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d5769c8190bbb604bfa095a1a5 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0002419cec81909e3cec70968b65a4 completed May 10, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0002ad960c81909c308a12da9b65d6 completed May 10, 2026, 3:59 a.m.
Created at: April 10, 2026, 5:02 a.m.