Triple

T7158182
Position Surface form Disambiguated ID Type / Status
Subject George D. and Margo Behrakis Wing E166869 entity
Predicate namedAfter P63 FINISHED
Object Margo Behrakis
Margo Behrakis is a philanthropist and arts patron known for her significant support of cultural and educational institutions.
E645416 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: Margo Behrakis | Statement: [George D. and Margo Behrakis Wing, namedAfter, Margo Behrakis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margo Behrakis
Context triple: [George D. and Margo Behrakis Wing, namedAfter, Margo Behrakis]
  • A. Felicia Minei Behr
    Felicia Minei Behr is an American television producer best known for her influential work in daytime soap operas.
  • B. Stella Sampas
    Stella Sampas was the third wife and widow of Beat Generation writer Jack Kerouac, known for managing his literary estate after his death.
  • C. Eniko Parrish
    Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
  • D. Margo Anderson
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • E. Margo Wilson
    Margo Wilson was a pioneering Canadian evolutionary psychologist best known for her influential research on violence, homicide, and parental investment, often conducted in collaboration with Martin Daly.
  • 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: Margo Behrakis
Triple: [George D. and Margo Behrakis Wing, namedAfter, Margo Behrakis]
Generated description
Margo Behrakis is a philanthropist and arts patron known for her significant support of cultural and educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margo Behrakis
Target entity description: Margo Behrakis is a philanthropist and arts patron known for her significant support of cultural and educational institutions.
  • A. Felicia Minei Behr
    Felicia Minei Behr is an American television producer best known for her influential work in daytime soap operas.
  • B. Stella Sampas
    Stella Sampas was the third wife and widow of Beat Generation writer Jack Kerouac, known for managing his literary estate after his death.
  • C. Eniko Parrish
    Eniko Parrish is an American model and media personality best known as the wife of comedian and actor Kevin Hart.
  • D. Margo Anderson
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • E. Margo Wilson
    Margo Wilson was a pioneering Canadian evolutionary psychologist best known for her influential research on violence, homicide, and parental investment, often conducted in collaboration with Martin Daly.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8109a64819087e132d6d483c07d completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adbbe8008190b470cf049ba4be52 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7aeca9b0c8190a9255e9e04689192 completed March 28, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69c7af3aea348190be03e85322d49879 completed March 28, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:47 p.m.