Triple
T9754182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flo |
E236512
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object |
Cars universe
The Cars universe is the animated world created by Pixar in which anthropomorphic vehicles live, work, and race, as depicted in the Cars film series and related media.
|
E818182
|
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: Cars universe | Statement: [Flo, fictionalUniverse, Cars universe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cars universe Context triple: [Flo, fictionalUniverse, Cars universe]
-
A.
Carros
Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
-
B.
CAR
CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
-
C.
CAR
CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
-
D.
CAR
CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
-
E.
CAR
CAR is the acronym commonly used for the Council for Aboriginal Reconciliation, an Australian body established to promote understanding and improved relations between Aboriginal and Torres Strait Islander peoples and the wider community.
- 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: Cars universe Triple: [Flo, fictionalUniverse, Cars universe]
Generated description
The Cars universe is the animated world created by Pixar in which anthropomorphic vehicles live, work, and race, as depicted in the Cars film series and related media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cars universe Target entity description: The Cars universe is the animated world created by Pixar in which anthropomorphic vehicles live, work, and race, as depicted in the Cars film series and related media.
-
A.
Carros
Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
-
B.
CAR
CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
-
C.
CAR
CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
-
D.
CAR
CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
-
E.
CAR
CAR is the acronym commonly used for the Council for Aboriginal Reconciliation, an Australian body established to promote understanding and improved relations between Aboriginal and Torres Strait Islander peoples and the wider community.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b02ff0f4819080410d4e7e809a24 |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b1b8c75481909b847591b80255bc |
completed | April 5, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b24f4af4819089b7e5b2b0165808 |
completed | April 5, 2026, 12:52 a.m. |
Created at: March 30, 2026, 8:24 p.m.