Triple
T8111999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Shapiro |
E189376
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dara Khosrowshahi |
E33050
|
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: Dara Khosrowshahi | Statement: [Sydney Shapiro, spouse, Dara Khosrowshahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dara Khosrowshahi Context triple: [Sydney Shapiro, spouse, Dara Khosrowshahi]
-
A.
Dara Khosrowshahi
chosen
Dara Khosrowshahi is an Iranian-American business executive best known as the CEO of Uber and former CEO of Expedia Group.
-
B.
Hassan Khosrowshahi
Hassan Khosrowshahi is an Iranian-Canadian businessman and philanthropist best known as the founder of the Canadian retail chain Future Shop.
-
C.
Darius Alizadeh
Darius Alizadeh is a character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
-
D.
Johari Amini
Johari Amini is an American poet, writer, and activist associated with the Black Arts Movement and known for her role in fostering Black literature and publishing.
-
E.
Omid Kordestani
Omid Kordestani is an Iranian-American business executive best known for senior leadership roles at major tech companies including Google and Twitter.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432bcb648190b5ddbcc2a3dbc9b1 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbea5d39c819099d52545410ae564 |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:32 p.m.