Triple
T15834129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Xu |
E383942
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Patti Bao |
E1180437
|
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: Patti Bao | Statement: [Tony Xu, spouse, Patti Bao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patti Bao Context triple: [Tony Xu, spouse, Patti Bao]
-
A.
Patti
Patti is a historic town in the Tarn Taran district of Punjab, India, known for its agricultural surroundings and cultural heritage.
-
B.
Patti
Patti is the given name of Patti LuPone, the acclaimed American actress and singer best known for her work in musical theatre on Broadway and the West End.
-
C.
Patti
Patti is a coastal town in northeastern Sicily, Italy, known for its historic center, archaeological sites, and beaches along the Tyrrhenian Sea.
-
D.
Patti Xu
chosen
Patti Xu is known as the wife of DoorDash co-founder and CEO Tony Xu.
-
E.
Piggy Lee
Piggy Lee is an alternate name for Miss Piggy, the glamorous, temperamental Muppet character known for her diva personality and unrequited love for Kermit the Frog.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e6670d48190a456581dd951f168 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93be478819099908e7242f532d7 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.