Triple

T21051115
Position Surface form Disambiguated ID Type / Status
Subject Javed E518583 entity
Predicate alternativeTransliteration P5923 FINISHED
Object Javid 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: Javid | Statement: [Javed, alternativeTransliteration, Javid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Javid
Context triple: [Javed, alternativeTransliteration, Javid]
  • A. Javid
    Javid is a surname most prominently associated with Sajid Javid, a British Conservative politician and former Chancellor of the Exchequer and Home Secretary.
  • B. Javid chosen
    Javid is a masculine given name of Persian and Urdu origin, commonly used in South Asia and the Middle East.
  • C. Jawad
    Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
  • D. Majid
    Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
  • E. Jalil
    Jalil is a masculine given name of Arabic origin meaning "great," "exalted," or "majestic."
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7bd96c81909cb46419ad4e1222 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:35 p.m.