Triple

T29649676
Position Surface form Disambiguated ID Type / Status
Subject Japan vs Poland (2018 FIFA World Cup) E756100 entity
Predicate decisiveGoalScorer P2695 FINISHED
Object Jan Bednarek
Jan Bednarek is a Polish professional footballer, primarily a central defender, known for representing Poland internationally and playing in top European leagues.
E1885238 NE 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: Jan Bednarek | Statement: [Japan vs Poland (2018 FIFA World Cup), decisiveGoalScorer, Jan Bednarek]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jan Bednarek
Triple: [Japan vs Poland (2018 FIFA World Cup), decisiveGoalScorer, Jan Bednarek]
Generated description
Jan Bednarek is a Polish professional footballer, primarily a central defender, known for representing Poland internationally and playing in top European leagues.

Provenance (5 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_69f0ef89d2c88190a6d0d5116ccd7cc9 completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f66f2329b08190b0ce42740644ecf6 completed May 2, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c8d8f2808190b41eaa9824f6525c completed June 8, 2026, 1:51 p.m.
NEDg Description generation batch_6a26ccffc0988190be22b829efed1b24 completed June 8, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_6a26da49ea808190bba6584022192015 completed June 8, 2026, 3:05 p.m.
Created at: April 28, 2026, 6:51 p.m.