Triple
T2232472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Car Wash |
E49199
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Lauren Jones
Lauren Jones is an American model, actress, and television personality known for her appearances in film, TV, and professional wrestling.
|
E252170
|
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: Lauren Jones | Statement: [Car Wash, hasCastMember, Lauren Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Jones Context triple: [Car Wash, hasCastMember, Lauren Jones]
-
A.
Shannon Elizabeth
Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
-
B.
Tara Reid
Tara Reid is an American actress best known for her roles in films like "American Pie" and "The Big Lebowski," as well as the "Sharknado" television movie series.
-
C.
Heather Graham
Heather Graham is an American actress known for her roles in films such as "Boogie Nights," "Austin Powers: The Spy Who Shagged Me," and "The Hangover."
-
D.
Lindsay Roy
Lindsay Roy is a Scottish Labour politician and former Member of Parliament who represented the Glenrothes constituency in the UK Parliament.
-
E.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
- 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: Lauren Jones Triple: [Car Wash, hasCastMember, Lauren Jones]
Generated description
Lauren Jones is an American model, actress, and television personality known for her appearances in film, TV, and professional wrestling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Jones Target entity description: Lauren Jones is an American model, actress, and television personality known for her appearances in film, TV, and professional wrestling.
-
A.
Shannon Elizabeth
Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
-
B.
Tara Reid
Tara Reid is an American actress best known for her roles in films like "American Pie" and "The Big Lebowski," as well as the "Sharknado" television movie series.
-
C.
Heather Graham
Heather Graham is an American actress known for her roles in films such as "Boogie Nights," "Austin Powers: The Spy Who Shagged Me," and "The Hangover."
-
D.
Lindsay Roy
Lindsay Roy is a Scottish Labour politician and former Member of Parliament who represented the Glenrothes constituency in the UK Parliament.
-
E.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06d26bc8190a85ddb6312d2df08 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f007e988190bb032a39cfea7730 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fc194488190bb71124f0225a521 |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae802d03648190a71303daf20e6162 |
completed | March 9, 2026, 8:09 a.m. |
Created at: March 4, 2026, 7:47 p.m.