Triple
T1081875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center for Autism Research |
E23963
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CAR
CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
|
E125153
|
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: CAR | Statement: [Center for Autism Research, abbreviation, CAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAR Context triple: [Center for Autism Research, abbreviation, CAR]
-
A.
Cars
Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
-
B.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
C.
Motor Mania
Motor Mania is a 1950 Disney animated short film featuring Goofy that humorously depicts the transformation of a mild-mannered driver into an aggressive road menace.
-
D.
Sedan
Sedan is a town in northeastern France best known as the site of major military engagements, including pivotal battles in both the Franco-Prussian War and World War II.
-
E.
Jeep
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
- 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: CAR Triple: [Center for Autism Research, abbreviation, CAR]
Generated description
CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAR Target entity description: CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
-
A.
Cars
Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
-
B.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
C.
Motor Mania
Motor Mania is a 1950 Disney animated short film featuring Goofy that humorously depicts the transformation of a mild-mannered driver into an aggressive road menace.
-
D.
Sedan
Sedan is a town in northeastern France best known as the site of major military engagements, including pivotal battles in both the Franco-Prussian War and World War II.
-
E.
Jeep
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42affbac8190b6b16a1d726d0d35 |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac44a7a69c8190af5289f6e46d571a |
completed | March 7, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac451af1508190a55c037328b41931 |
completed | March 7, 2026, 3:32 p.m. |
Created at: March 1, 2026, 7:42 p.m.