Triple

T12679551
Position Surface form Disambiguated ID Type / Status
Subject Fareed Zakaria E302909 entity
Predicate fullName P16 FINISHED
Object Fareed Rafiq Zakaria E302909 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: Fareed Rafiq Zakaria | Statement: [Fareed Zakaria, fullName, Fareed Rafiq Zakaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fareed Rafiq Zakaria
Context triple: [Fareed Zakaria, fullName, Fareed Rafiq Zakaria]
  • A. Fareed Zakaria chosen
    Fareed Zakaria is an Indian-American political scientist, author, and journalist best known as the host of CNN’s international affairs program "Fareed Zakaria GPS" and for his commentary on global politics and foreign policy.
  • B. Zakharia
    Zakharia is a masculine given name, notably borne by the Georgian composer Zakharia Paliashvili.
  • C. Juan Cole
    Juan Cole is an American historian and commentator best known for his expertise on the modern Middle East and U.S. foreign policy.
  • D. Anas Haqqani
    Anas Haqqani is a senior Taliban figure and influential member of the Haqqani family, known for his political role and public outreach within the Taliban movement in Afghanistan.
  • E. John Esposito
    John Esposito is an American screenwriter and producer known for his work in horror films and television, including contributions to projects like "Graveyard Shift" and "Masters of Horror."
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b1dff48190923290555ece5d89 completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a54b008190b02f9585d6c6ff77 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.