Triple

T13448918
Position Surface form Disambiguated ID Type / Status
Subject Geoff Mercer E320555 entity
Predicate hasPastRelationship P64436 FINISHED
Object Katya E61396 NE FINISHED

How this triple was built (3 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: Katya | Statement: [Geoff Mercer, hasPastRelationship, Katya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katya
Context triple: [Geoff Mercer, hasPastRelationship, Katya]
  • A. Katya chosen
    Katya is a diminutive and affectionate form of the given name Catherine, commonly used in Slavic and other European cultures.
  • B. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • C. Nastya
    Nastya is a tragic, idealistic young prostitute in Maxim Gorky’s play "The Lower Depths," known for her romantic fantasies and emotional vulnerability amid harsh social realities.
  • D. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • E. Ekaterina Maximova
    Ekaterina Maximova was a celebrated Soviet and Russian ballerina renowned for her lyrical artistry and long-standing career as a principal dancer with the Bolshoi Ballet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPastRelationship
Context triple: [Geoff Mercer, hasPastRelationship, Katya]
  • A. hadPartner
    Indicates that an entity was in a romantic or life-partner relationship with another entity at some point in time.
  • B. hasBeenDatedBy chosen
    Indicates that one entity has previously been in a romantic or dating relationship with another entity.
  • C. marriedBefore
    Indicates that one entity entered into a marriage at an earlier time than the other entity.
  • D. hasAffairWith
    Indicates that one entity is engaged in a secret or illicit romantic or sexual relationship with another entity, typically outside a committed partnership.
  • E. hasComplicatedRelationshipWith
    Indicates that one entity is involved in a complex, often ambiguous or difficult-to-define interpersonal or relational dynamic with another entity.
  • F. None of above.

Provenance (4 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73999f8388190b2c578e063341178 completed May 3, 2026, 12:03 p.m.
PD Predicate disambiguation batch_69d9a03ce03481908c61094f0cc0c158 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:41 p.m.