Triple
T805843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omid Kordestani |
E17430
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kordestani |
E17430
|
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: Kordestani | Statement: [Omid Kordestani, familyName, Kordestani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kordestani Context triple: [Omid Kordestani, familyName, Kordestani]
-
A.
Omid Kordestani
chosen
Omid Kordestani is an Iranian-American business executive best known for senior leadership roles at major tech companies including Google and Twitter.
-
B.
Fedallah
Fedallah is a mysterious, prophetic Parsee harpooner who serves as Captain Ahab’s shadowy confidant in Herman Melville’s novel *Moby-Dick*.
-
C.
Amini
Amini is a small inhabited coral island in India’s Lakshadweep archipelago, known for its coconut cultivation, coir products, and traditional craftsmanship.
-
D.
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.
-
E.
Dara Khosrowshahi
Dara Khosrowshahi is an Iranian-American business executive best known as the CEO of Uber and former CEO of Expedia Group.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d83cf448190a2205cd777386833 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:38 p.m.