Triple

T38058523
Position Surface form Disambiguated ID Type / Status
Subject Sokół Tychy E950269 entity
Predicate roleInJerzyDudekCareer P204084 FINISHED
Object early club 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: early club | Statement: [Sokół Tychy, roleInJerzyDudekCareer, early club]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInJerzyDudekCareer
Context triple: [Sokół Tychy, roleInJerzyDudekCareer, early club]
  • A. partOfCreativeCareerOf
    Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
  • B. followedByRoleInCareerOf
    Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
  • C. roleOfPerson
    Indicates that a specific role, function, or position is assigned to or held by a particular person.
  • D. eraOfOccupation
    Indicates the time period during which an occupation or role was held or practiced.
  • E. dedicateeOccupation
    Indicates the occupation or professional role of the person to whom something (such as a work, object, or honor) is dedicated.
  • 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_69f76f01e63c819093b6012fc974f35a completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a031b40c6d0819096f4b9787a1f09d1 completed May 12, 2026, 12:21 p.m.
PD Predicate disambiguation batch_6a03191f8ee08190b3416b044869ddfd completed May 12, 2026, 12:12 p.m.
PDg Predicate description generation batch_6a031b401e7c8190b9d413e2bc3d3fec completed May 12, 2026, 12:21 p.m.
Created at: May 3, 2026, 4:21 p.m.