Triple

T24631470
Position Surface form Disambiguated ID Type / Status
Subject 1958–59 European Cup E609686 entity
Predicate winnerManager P35408 FINISHED
Object Luis Carniglia
Luis Carniglia was an Argentine football manager best known for leading Real Madrid during the late 1950s, guiding the club to multiple European Cup triumphs in its early era of continental dominance.
E1686954 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: Luis Carniglia | Statement: [1958–59 European Cup, winnerManager, Luis Carniglia]
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: Luis Carniglia
Triple: [1958–59 European Cup, winnerManager, Luis Carniglia]
Generated description
Luis Carniglia was an Argentine football manager best known for leading Real Madrid during the late 1950s, guiding the club to multiple European Cup triumphs in its early era of continental dominance.

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_69e2c4d1d3708190a0f2dc6a3a8523bb completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2aabb5e6481909b209d4f38cb58b9 completed April 30, 2026, 1:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b6ff45748190abf017541c32bcc9 completed May 22, 2026, 8:05 p.m.
NEDg Description generation batch_6a10b7fa6d60819097ff930865af4032 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
Created at: April 18, 2026, 2:32 a.m.