Triple

T26849103
Position Surface form Disambiguated ID Type / Status
Subject Anatolian rock E676006 entity
Predicate notableArtist P601 FINISHED
Object Selda Bağcan
Selda Bağcan is a renowned Turkish folk and protest singer-songwriter whose powerful voice and politically charged songs have made her an iconic figure in Anatolian rock and world music.
E1867537 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: Selda Bağcan | Statement: [Anatolian rock, notableArtist, Selda Bağcan]
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: Selda Bağcan
Triple: [Anatolian rock, notableArtist, Selda Bağcan]
Generated description
Selda Bağcan is a renowned Turkish folk and protest singer-songwriter whose powerful voice and politically charged songs have made her an iconic figure in Anatolian rock and world music.

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_69eee9b8d5e88190a07d3455c0fbb21f completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b90393c819090595eac8e538e05 completed May 2, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d8ebe8288190adc5a63c01f2a9d4 completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dd39b5e08190afdacb75ea8ef091 completed June 7, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a25e28ca1988190929154c0ceb6d42b completed June 7, 2026, 9:28 p.m.
Created at: April 27, 2026, 5:15 a.m.