Triple

T17327496
Position Surface form Disambiguated ID Type / Status
Subject H. W. Plainview E420722 entity
Predicate relationshipTypeWithDanielPlainview P127020 FINISHED
Object adoptive 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: adoptive | Statement: [H. W. Plainview, relationshipTypeWithDanielPlainview, adoptive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithDanielPlainview
Context triple: [H. W. Plainview, relationshipTypeWithDanielPlainview, adoptive]
  • A. relationshipToBreeDaniels
    Indicates a relationship that an entity has specifically to Bree Daniels, without specifying the type or nature of that relationship.
  • B. relationshipToWalterBurns
    Indicates the specific nature of the relationship an entity has with Walter Burns, such as familial, professional, or social connection.
  • C. relationshipTypeWithRobertCohn
    Indicates the specific nature or category of relationship that an entity has with Robert Cohn.
  • D. relationshipTypeWithDauberDybinski
    Indicates a specific type of relationship or association that exists between an entity and Dauber Dybinski.
  • E. relationshipToTheDude
    Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
  • F. None of above. chosen

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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d321c881909e63a6870b152c8c completed April 19, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69e3b021a5bc81909ae55406f9d0b37f completed April 18, 2026, 4:24 p.m.
PDg Predicate description generation batch_69e3b2a225b08190a50f984caa6513b9 completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:43 a.m.