Triple

T1585979
Position Surface form Disambiguated ID Type / Status
Subject Stanley Corrsin E34065 entity
Predicate notableStudent P4838 FINISHED
Object Parviz Moin E143721 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: [Stanley Corrsin, notableStudent, Parviz Moin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parviz Moin
Context triple: [Stanley Corrsin, notableStudent, Parviz Moin]
  • A. Parviz Moin chosen
    Parviz Moin is a prominent mechanical engineer and computational fluid dynamicist known for pioneering work in direct numerical simulation of turbulence and for founding Stanford’s Center for Turbulence Research.
  • B. Parviz Mirza
    Parviz Mirza was a Mughal prince of the early 17th century, known as one of Emperor Jahangir’s sons and a contender in the empire’s succession struggles.
  • C. Farhad Moshiri
    Farhad Moshiri is a British-Iranian businessman and investor best known for his majority ownership stake in Premier League football clubs, most notably Everton.
  • D. Omid Kordestani
    Omid Kordestani is an Iranian-American business executive best known for senior leadership roles at major tech companies including Google and Twitter.
  • E. Ramin Golestanian
    Ramin Golestanian is an Iranian-German physicist known for his pioneering work in soft matter and active matter physics, particularly in the theory of microswimmers and nonequilibrium systems.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908f3b5f48190bd5eff3ce81c5ffb completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad469b36548190b2bdf2324fbea30f completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.