Triple

T37575857
Position Surface form Disambiguated ID Type / Status
Subject 1994–95 UEFA Cup Winners' Cup E934816 entity
Predicate decidingGoalScorer P2220 FINISHED
Object Nayim
Nayim is a former Spanish professional footballer best known for his dramatic long-range winning goal for Real Zaragoza in the 1995 UEFA Cup Winners' Cup final against Arsenal.
E2235026 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: Nayim | Statement: [1994–95 UEFA Cup Winners' Cup, decidingGoalScorer, Nayim]
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: Nayim
Triple: [1994–95 UEFA Cup Winners' Cup, decidingGoalScorer, Nayim]
Generated description
Nayim is a former Spanish professional footballer best known for his dramatic long-range winning goal for Real Zaragoza in the 1995 UEFA Cup Winners' Cup final against Arsenal.

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_69f76ecd99148190be327e391a70f5b6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba4bdaf288190b129a5bf945fc7c9 completed May 6, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7f1b98881908bda610d39b493ed completed June 28, 2026, 4:49 a.m.
NEDg Description generation batch_6a40a97bae108190b98441e7261e0380 completed June 28, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_6a40a9ed5e5c8190a65e726e746d766d completed June 28, 2026, 4:58 a.m.
Created at: May 3, 2026, 4:17 p.m.