Triple

T8785059
Position Surface form Disambiguated ID Type / Status
Subject Lina Ben Mhenni E209023 entity
Predicate name P16 FINISHED
Object Lina Ben Mhenni E209023 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: Lina Ben Mhenni | Statement: [Lina Ben Mhenni, name, Lina Ben Mhenni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lina Ben Mhenni
Context triple: [Lina Ben Mhenni, name, Lina Ben Mhenni]
  • A. Lina Ben Mhenni chosen
    Lina Ben Mhenni was a Tunisian blogger, activist, and outspoken critic of censorship whose online reporting became a prominent voice of the Arab Spring.
  • B. Wassila Ben Ammar
    Wassila Ben Ammar was a prominent Tunisian political figure and the influential second wife of President Habib Bourguiba.
  • C. Samia Chancrin
    Samia Chancrin is an actress known for her role in the German crime thriller film "In the Fade."
  • D. Fatiha Boudjahlat
    Fatiha Boudjahlat is a French essayist, teacher, and feminist known for her staunch defense of secularism and republican universalism, particularly in debates on religious symbols and identity politics.
  • E. Leïla Ben Ali
    Leïla Ben Ali is the former First Lady of Tunisia, known for her influential role and controversial prominence during the presidency of Zine El Abidine Ben Ali.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7441e8819081ea0ae7bc2afde7 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51fded4c81909725807e4855c4a2 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:42 p.m.