Triple

T11113713
Position Surface form Disambiguated ID Type / Status
Subject Seagate Technology Holdings plc E262827 entity
Predicate founder P104 FINISHED
Object Syed Iftikar E262826 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: Syed Iftikar | Statement: [Seagate Technology Holdings plc, founder, Syed Iftikar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syed Iftikar
Context triple: [Seagate Technology Holdings plc, founder, Syed Iftikar]
  • A. Syed Iftikar chosen
    Syed Iftikar is an entrepreneur best known as a co-founder of the data storage company Seagate Technology.
  • B. Asif Iqbal
    Asif Iqbal is a former Guantánamo Bay detainee and British resident who challenged his detention in the landmark U.S. Supreme Court case Rasul v. Bush.
  • C. Javid Iqbal
    Javid Iqbal was a Pakistani jurist, philosopher, and senior judge of the Supreme Court of Pakistan, known also as the son of poet-philosopher Allama Muhammad Iqbal.
  • D. Zafar Iqbal
    Zafar Iqbal is an Islamist militant figure best known as one of the founders of the Pakistan-based extremist organization Lashkar-e-Taiba.
  • E. Muhammed Zafar Iqbal
    Muhammed Zafar Iqbal is a prominent Bangladeshi science fiction writer, physicist, and academic known for his influential work in literature and science education.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa637888190935e852281408356 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462f5fe708190835e427b6bf99f13 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:27 p.m.