Triple
T241678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uber |
E4943
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object |
Dara Khosrowshahi
Dara Khosrowshahi is an Iranian-American business executive best known as the CEO of Uber and former CEO of Expedia Group.
|
E33050
|
NE FINISHED |
How this triple was built (4 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: Dara Khosrowshahi | Statement: [Uber, hasKeyPerson, Dara Khosrowshahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dara Khosrowshahi Context triple: [Uber, hasKeyPerson, Dara Khosrowshahi]
-
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.
Amini
Amini is a small inhabited coral island in India’s Lakshadweep archipelago, known for its coconut cultivation, coir products, and traditional craftsmanship.
-
C.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
D.
Mir Jafar
Mir Jafar was an 18th-century Nawab of Bengal best known for his alliance with the British East India Company, which helped establish British colonial rule in India.
-
E.
Hassan Aref
Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dara Khosrowshahi Triple: [Uber, hasKeyPerson, Dara Khosrowshahi]
Generated description
Dara Khosrowshahi is an Iranian-American business executive best known as the CEO of Uber and former CEO of Expedia Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dara Khosrowshahi Target entity description: Dara Khosrowshahi is an Iranian-American business executive best known as the CEO of Uber and former CEO of Expedia Group.
-
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.
Amini
Amini is a small inhabited coral island in India’s Lakshadweep archipelago, known for its coconut cultivation, coir products, and traditional craftsmanship.
-
C.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
D.
Mir Jafar
Mir Jafar was an 18th-century Nawab of Bengal best known for his alliance with the British East India Company, which helped establish British colonial rule in India.
-
E.
Hassan Aref
Hassan Aref was a prominent physicist and engineer known for his pioneering contributions to fluid dynamics, particularly in vortex dynamics and chaotic advection.
- F. None of above. chosen
Provenance (5 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25cee6f208190b996be4faa700910 |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3765a652081909164489d1e3e39f6 |
completed | Feb. 28, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69a37819afcc81909621442ca98a9baa |
completed | Feb. 28, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a378b9dc54819096a1d0899e8d8b92 |
completed | Feb. 28, 2026, 11:22 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.