Triple

T22476842
Position Surface form Disambiguated ID Type / Status
Subject Mehdi E555654 entity
Predicate variantForm P4680 FINISHED
Object Mehdī 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: Mehdī | Statement: [Mehdi, variantForm, Mehdī]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehdī
Context triple: [Mehdi, variantForm, Mehdī]
  • A. Mehdi chosen
    Mehdi is a common Persian male given name, often associated with Islamic and especially Shia traditions, meaning "the guided one."
  • B. Sadeq
    Sadeq is a Persian given name commonly used for males in Iran and other Persian-speaking communities.
  • C. Jaʿfar
    Jaʿfar is a prominent Arabic male given name of Islamic origin, historically associated with notable early Muslim figures.
  • D. Emam
    Emam is the family name of Adel Emam, a legendary Egyptian actor and comedian widely regarded as one of the most influential figures in Arab cinema and theater.
  • E. Abdolkarim
    Abdolkarim is a male given name of Arabic origin commonly used in Persian- and Arabic-speaking communities, meaning "servant of the Most Generous" (a reference to one of the names of God in Islam).
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be48cec8190baff90f8566a85d0 completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.