Triple

T24562374
Position Surface form Disambiguated ID Type / Status
Subject Eurovision Song Contest 1964 E607689 entity
Predicate winningSong P36873 FINISHED
Object “Non ho l’età”
“Non ho l’età” is an Italian ballad performed by Gigliola Cinquetti that became widely known after bringing Italy its first victory at the Eurovision Song Contest.
 E1640432 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: “Non ho l’età” | Statement: [Eurovision Song Contest 1964, winningSong, “Non ho l’età”]
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: “Non ho l’età”
Triple: [Eurovision Song Contest 1964, winningSong, “Non ho l’età”]
Generated description
“Non ho l’età” is an Italian ballad performed by Gigliola Cinquetti that became widely known after bringing Italy its first victory at the Eurovision Song Contest.

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_69e2c4cc35a48190990b7571bc086df8 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8f7a244819080596718c21d0df3 completed April 30, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff8670b94819094c7c2de869b23ae completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ff956f6e48190950c5bace85c9669 completed May 22, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffa00b57081909bc69474734fcb20 completed May 22, 2026, 6:38 a.m.
Created at: April 18, 2026, 2:28 a.m.