Triple

T19098485
Position Surface form Disambiguated ID Type / Status
Subject Matthieu Chedid E467467 entity
Predicate associatedAct P37 FINISHED
Object Ibrahim Maalouf NE NERFINISHED

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: Ibrahim Maalouf | Statement: [Matthieu Chedid, associatedAct, Ibrahim Maalouf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibrahim Maalouf
Context triple: [Matthieu Chedid, associatedAct, Ibrahim Maalouf]
  • A. Ibrahim Maalouf chosen
    Ibrahim Maalouf is a French-Lebanese trumpeter and composer renowned for blending jazz with Arabic musical traditions and quarter-tone techniques.
  • B. Anouar Brahem
    Anouar Brahem is a Tunisian oud virtuoso and composer renowned for blending traditional Arabic music with jazz and contemporary improvisation.
  • C. Ballaké Sissoko
    Ballaké Sissoko is a renowned Malian musician celebrated as one of the world’s leading kora virtuosos and a prominent figure in contemporary West African traditional music.
  • D. Maalouf
    Maalouf is a Lebanese family name borne by numerous notable figures in literature, music, and public life across the Middle East and diaspora.
  • E. Kayhan Kalhor
    Kayhan Kalhor is an acclaimed Iranian kamancheh virtuoso and composer known for his innovative contributions to Persian classical music and cross-cultural collaborations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36b279c819091a8d51f044bc644 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.