Triple

T9205011
Position Surface form Disambiguated ID Type / Status
Subject Norman Grabowski E220951 entity
Predicate hasNotableHobby P86974 FINISHED
Object building and driving hot rods — 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: building and driving hot rods | Statement: [Norman Grabowski, hasNotableHobby, building and driving hot rods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableHobby
Context triple: [Norman Grabowski, hasNotableHobby, building and driving hot rods]
  • A. isPopularWithHobbyKeepers
    Indicates that something is widely liked, favored, or well-regarded by people who pursue a particular hobby or collection activity.
  • B. hasHabit
    Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
  • C. hasNotableGenre
    Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
  • D. hasPopularActivity
    Indicates that an entity is associated with an activity that is widely favored, frequently engaged in, or well-liked by many people.
  • E. hasNotableSubject
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd945f37881909f0d30eeb6a7a3ad completed April 1, 2026, 8:37 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc6745c17881908df72443e0800068 completed April 1, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:26 p.m.