Triple
T13938656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pleasure Principle |
E335182
|
entity |
| Predicate | containsSingle |
P3282
|
FINISHED |
| Object |
Cars
"Cars" is a 1979 new wave song by Gary Numan, known for its distinctive synthesizer riff and status as one of the earliest mainstream synth-pop hits.
|
E1071848
|
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 | Statement: [The Pleasure Principle, containsSingle, Cars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cars Context triple: [The Pleasure Principle, containsSingle, Cars]
-
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.
CAR
CAR is the commonly used abbreviation for Rugby Africa, the governing body for rugby union on the African continent.
-
C.
CAR
CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
-
D.
CAR
CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
-
E.
CAR
CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
- 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 Triple: [The Pleasure Principle, containsSingle, Cars]
Generated description
"Cars" is a 1979 new wave song by Gary Numan, known for its distinctive synthesizer riff and status as one of the earliest mainstream synth-pop hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cars Target entity description: "Cars" is a 1979 new wave song by Gary Numan, known for its distinctive synthesizer riff and status as one of the earliest mainstream synth-pop hits.
-
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.
CAR
CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
-
C.
CAR
CAR is the commonly used abbreviation for Rugby Africa, the governing body for rugby union on the African continent.
-
D.
CAR
CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
-
E.
CAR
CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf5cc8c8190bea74291702b2925 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c81e988190a5fd8e2d83e065fe |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5918348819084fa4235eec6eee0 |
completed | May 6, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6b5e4f4819088e8a0629e17e4cc |
completed | May 6, 2026, 8:38 p.m. |
Created at: April 9, 2026, 10:17 p.m.