Triple

T210697
Position Surface form Disambiguated ID Type / Status
Subject Fluid Dynamics Prize E4710 entity
Predicate hasRecipient P108 FINISHED
Object Parviz Moin E26925 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: Parviz Moin | Statement: [Fluid Dynamics Prize, hasRecipient, Parviz Moin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parviz Moin
Context triple: [Fluid Dynamics Prize, hasRecipient, Parviz Moin]
  • A. Omid Kordestani
    Omid Kordestani is an Iranian-American business executive best known for senior leadership roles at major tech companies including Google and Twitter.
  • B. Abdulfattah Jandali
    Abdulfattah Jandali is a Syrian-born immigrant and academic who is best known as the biological father of Apple co-founder Steve Jobs.
  • C. Hassan Aref chosen
    Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
  • D. Ismail Serageldin
    Ismail Serageldin is an Egyptian scholar and former vice president of the World Bank, best known as the founding director of the Bibliotheca Alexandrina and a prominent advocate for science, development, and cultural heritage.
  • E. Armen Keteyian
    Armen Keteyian is an American sports journalist and television correspondent known for his investigative reporting and coverage of major sporting events.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c2ead8481909996042efcae5e9d completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a338e8432081909c1b924250751022 completed Feb. 28, 2026, 6:50 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.