Triple
T2124636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars |
E46398
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Sally Carrera
Sally Carrera is a sleek blue Porsche 911 and the savvy, kind-hearted attorney and love interest of Lightning McQueen in Pixar's Cars franchise.
|
E240004
|
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: Sally Carrera | Statement: [Cars, mainCharacter, Sally Carrera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Carrera Context triple: [Cars, mainCharacter, Sally Carrera]
-
A.
Leona Vicario
Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
-
B.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
C.
Carla Azcárraga
Carla Azcárraga is a member of the prominent Mexican Azcárraga family, known for its major influence in the media and entertainment industry.
-
D.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
-
E.
Claricia Scotti
Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
- 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: Sally Carrera Triple: [Cars, mainCharacter, Sally Carrera]
Generated description
Sally Carrera is a sleek blue Porsche 911 and the savvy, kind-hearted attorney and love interest of Lightning McQueen in Pixar's Cars franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sally Carrera Target entity description: Sally Carrera is a sleek blue Porsche 911 and the savvy, kind-hearted attorney and love interest of Lightning McQueen in Pixar's Cars franchise.
-
A.
Leona Vicario
Leona Vicario was a prominent Mexican independence heroine, journalist, and supporter of the insurgent cause against Spanish rule in the early 19th century.
-
B.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
C.
Carla Azcárraga
Carla Azcárraga is a member of the prominent Mexican Azcárraga family, known for its major influence in the media and entertainment industry.
-
D.
Maria Cerezo
Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
-
E.
Claricia Scotti
Claricia Scotti was a medieval Italian noblewoman known primarily as the mother of Pope Innocent III.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58cf2a588190a59dc1ae5d684538 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae599c6b288190b7e173ffc505c605 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a42675c8190a019034e8a6bda21 |
completed | March 9, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:44 p.m.