Triple

T7862478
Position Surface form Disambiguated ID Type / Status
Subject Mehmet Ali Birand E182530 entity
Predicate employer P7 FINISHED
Object Hürriyet E654079 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: Hürriyet | Statement: [Mehmet Ali Birand, employer, Hürriyet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hürriyet
Context triple: [Mehmet Ali Birand, employer, Hürriyet]
  • A. Hürriyet chosen
    Hürriyet is one of Turkey’s largest and most influential daily newspapers, known for its wide circulation and mainstream coverage of national and international news.
  • B. Cumhuriyet newspaper
    Cumhuriyet newspaper is a prominent Turkish daily known for its secular, republican stance and influential role in Turkey’s modern political and cultural life.
  • C. Istanbuler Mitteilungen
    Istanbuler Mitteilungen is a scholarly journal focused on archaeology and ancient studies in and around Istanbul, published by the German Archaeological Institute.
  • D. L’Express
    L’Express is a major French weekly news magazine known for its political and intellectual commentary.
  • E. Habero
    Habero is a town located in Eritrea's Anseba region, known primarily as a small agricultural and pastoral community.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36be5f408190b82a097b0825c57a completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b49a7288190ae6758647fb35ac9 completed March 31, 2026, 5:27 a.m.
Created at: March 30, 2026, 4:53 p.m.