Triple

T34702474
Position Surface form Disambiguated ID Type / Status
Subject Serie A Midfielder of the Year E1000410 entity
Predicate relatedAward P219 FINISHED
Object Serie A Young Player of the Year
The Serie A Young Player of the Year is an annual football award given to the most outstanding young player in Italy’s top professional league.
E2108327 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: Serie A Young Player of the Year | Statement: [Serie A Midfielder of the Year, relatedAward, Serie A Young Player of the Year]
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: Serie A Young Player of the Year
Triple: [Serie A Midfielder of the Year, relatedAward, Serie A Young Player of the Year]
Generated description
The Serie A Young Player of the Year is an annual football award given to the most outstanding young player in Italy’s top professional league.

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_69f76dab937881909c86f1b9ad50445f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77971dd6c8190900c58e6d95b3dbd completed May 3, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37530598488190b7de90e35623cb37 completed June 21, 2026, 2:57 a.m.
NEDg Description generation batch_6a3754b1aae4819099e384db390b6e31 completed June 21, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3755355350819087aa38073ff6f67a completed June 21, 2026, 3:06 a.m.
Created at: May 3, 2026, 3:59 p.m.