Triple
T23188608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Kanaan |
E579665
|
entity |
| Predicate | previousSpouse |
P493
|
FINISHED |
| Object |
Danielle Kanaan
Danielle Kanaan is the former wife of Brazilian IndyCar racing driver and Indianapolis 500 champion Tony Kanaan.
|
E1573675
|
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: Danielle Kanaan | Statement: [Tony Kanaan, previousSpouse, Danielle Kanaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danielle Kanaan Context triple: [Tony Kanaan, previousSpouse, Danielle Kanaan]
-
A.
Dana Murray
Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
-
B.
Ryan Hunter-Reay
Ryan Hunter-Reay is an American racing driver best known as the 2012 IndyCar Series champion and 2014 Indianapolis 500 winner.
-
C.
Justin Love
Justin Love is a songwriter best known for co-writing the hit song "Focus."
-
D.
Gale Halderman
Gale Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
-
E.
Tim Fagan
Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
- 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: Danielle Kanaan Triple: [Tony Kanaan, previousSpouse, Danielle Kanaan]
Generated description
Danielle Kanaan is the former wife of Brazilian IndyCar racing driver and Indianapolis 500 champion Tony Kanaan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danielle Kanaan Target entity description: Danielle Kanaan is the former wife of Brazilian IndyCar racing driver and Indianapolis 500 champion Tony Kanaan.
-
A.
Dana Murray
Dana Murray is a film producer best known for her work with Pixar Animation Studios, including producing the acclaimed animated feature "Soul."
-
B.
Ryan Hunter-Reay
Ryan Hunter-Reay is an American racing driver best known as the 2012 IndyCar Series champion and 2014 Indianapolis 500 winner.
-
C.
Justin Love
Justin Love is a songwriter best known for co-writing the hit song "Focus."
-
D.
Gale Halderman
Gale Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
-
E.
Tim Fagan
Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd592248190a7e705c554885cd1 |
completed | April 29, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30b89b84819090fe87693eedfa93 |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c336753ac819085038351f38039d8 |
completed | May 19, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c341aead08190955638f4ce8c1c32 |
completed | May 19, 2026, 9:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.