Triple

T28491084
Position Surface form Disambiguated ID Type / Status
Subject Portugal at the Eurovision Song Contest 1996 E720965 entity
Predicate lyricist P1360 FINISHED
Object Paulo Abreu Lima
Paulo Abreu Lima is a Portuguese lyricist best known for writing the lyrics to Portugal’s entry in the Eurovision Song Contest 1996.
E1848335 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: Paulo Abreu Lima | Statement: [Portugal at the Eurovision Song Contest 1996, lyricist, Paulo Abreu Lima]
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: Paulo Abreu Lima
Triple: [Portugal at the Eurovision Song Contest 1996, lyricist, Paulo Abreu Lima]
Generated description
Paulo Abreu Lima is a Portuguese lyricist best known for writing the lyrics to Portugal’s entry in the Eurovision Song Contest 1996.

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_69f01a5a47148190b0a7e111bc432e0a completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64f1474588190a5d4f5cad8e3dba6 completed May 2, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f464450819083e0ed542a562c1f completed June 7, 2026, 7:35 a.m.
NEDg Description generation batch_6a25239d75fc819097fecb8edcd63e80 completed June 7, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a25283e68608190a5f0b319c8028258 completed June 7, 2026, 8:13 a.m.
Created at: April 28, 2026, 3:01 a.m.