Triple

T37134645
Position Surface form Disambiguated ID Type / Status
Subject Ethan Lewis E919923 entity
Predicate relationshipDynamicWithKat P70419 FINISHED
Object contrasts with her online persona LITERAL 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: contrasts with her online persona | Statement: [Ethan Lewis, relationshipDynamicWithKat, contrasts with her online persona]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipDynamicWithKat
Context triple: [Ethan Lewis, relationshipDynamicWithKat, contrasts with her online persona]
  • A. relationshipWithKat Barton chosen
    Indicates the existence or nature of a relationship that an entity has with Kat Barton.
  • B. relationshipWithKaturian
    Indicates that one entity has some form of personal, emotional, or social relationship with the individual named Katurian.
  • C. relationshipToKenny
    Indicates the specific familial, social, or interpersonal connection that one entity has to Kenny.
  • D. relationshipTypeWithKatnissEverdeen
    Indicates the type or nature of the relationship an entity has with Katniss Everdeen.
  • E. relationshipDynamicWithBrad
    Indicates a relationship whose nature, intensity, or status changes over time in connection with Brad.
  • F. None of above.

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_69f76e9e9d008190a250b0387c992c74 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a11efc08190bb7cacc1325b4dc6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:15 p.m.