Triple
T23012890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andretti Green Racing |
E572954
|
entity |
| Predicate | coOwner |
P347
|
FINISHED |
| Object |
Kim Green
Kim Green is a prominent motorsports executive best known for his leadership and ownership roles with top-level American open-wheel racing teams.
|
E1566938
|
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: Kim Green | Statement: [Andretti Green Racing, coOwner, Kim Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Green Context triple: [Andretti Green Racing, coOwner, Kim Green]
-
A.
Kim Green
Kim Green is a former elite Australian netballer and midcourt specialist who became one of the key playmakers for the national team and in Australia’s domestic leagues.
-
B.
Jill Green
Jill Green is an American television producer known for her work on various film and TV projects.
-
C.
Jill Green
Jill Green is a minor character on the television series "Friends," known as Rachel Green's spoiled younger sister.
-
D.
Sally Greene
Sally Greene is a British theatre producer and arts entrepreneur known for her influential role in London’s West End and involvement in major stage and film projects.
-
E.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
- 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: Kim Green Triple: [Andretti Green Racing, coOwner, Kim Green]
Generated description
Kim Green is a prominent motorsports executive best known for his leadership and ownership roles with top-level American open-wheel racing teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Green Target entity description: Kim Green is a prominent motorsports executive best known for his leadership and ownership roles with top-level American open-wheel racing teams.
-
A.
Kim Green
Kim Green is a former elite Australian netballer and midcourt specialist who became one of the key playmakers for the national team and in Australia’s domestic leagues.
-
B.
Jill Green
Jill Green is a minor character on the television series "Friends," known as Rachel Green's spoiled younger sister.
-
C.
Jill Green
Jill Green is an American television producer known for her work on various film and TV projects.
-
D.
Sally Greene
Sally Greene is a British theatre producer and arts entrepreneur known for her influential role in London’s West End and involvement in major stage and film projects.
-
E.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2a65a10819087b5954853a95c65 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bfbc5b19c8190aed3f1199410b996 |
completed | May 19, 2026, 5:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bfccedf2c8190833df43ea2c294ca |
completed | May 19, 2026, 6:01 a.m. |
Created at: April 17, 2026, 3:51 p.m.