Triple
T6738811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreigner |
E154023
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Double Vision
"Double Vision" is a 1978 rock album by the British-American band Foreigner, known for its powerful arena-rock sound and hit title track.
|
E615117
|
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: Double Vision | Statement: [Foreigner, notableWork, Double Vision]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Double Vision Context triple: [Foreigner, notableWork, Double Vision]
-
A.
Double Vision
"Double Vision" is a suspenseful short story by Mary Higgins Clark, included in her collection *The Anastasia Syndrome and Other Stories*.
-
B.
Verdouble
Verdouble is a river in southern France that flows through the Pyrénées-Orientales and Aude departments, known for its scenic gorges and Mediterranean landscapes.
-
C.
Tired Eyes
"Tired Eyes" is a somber, piano-driven Neil Young song noted for its weary vocal delivery and themes of loss and regret.
-
D.
Doe Eyed
"Doe Eyed" is a song by American singer Rebecca Black, known for its polished pop production and introspective, emotionally charged lyrics.
-
E.
Eyelid’s Mouth
"Eyelid’s Mouth" is a song by the experimental rock band King Animal.
- 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: Double Vision Triple: [Foreigner, notableWork, Double Vision]
Generated description
"Double Vision" is a 1978 rock album by the British-American band Foreigner, known for its powerful arena-rock sound and hit title track.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Double Vision Target entity description: "Double Vision" is a 1978 rock album by the British-American band Foreigner, known for its powerful arena-rock sound and hit title track.
-
A.
Double Vision
"Double Vision" is a suspenseful short story by Mary Higgins Clark, included in her collection *The Anastasia Syndrome and Other Stories*.
-
B.
Verdouble
Verdouble is a river in southern France that flows through the Pyrénées-Orientales and Aude departments, known for its scenic gorges and Mediterranean landscapes.
-
C.
Tired Eyes
"Tired Eyes" is a somber, piano-driven Neil Young song noted for its weary vocal delivery and themes of loss and regret.
-
D.
Doe Eyed
"Doe Eyed" is a song by American singer Rebecca Black, known for its polished pop production and introspective, emotionally charged lyrics.
-
E.
Eyelid’s Mouth
"Eyelid’s Mouth" is a song by the experimental rock band King Animal.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1866dbc81909483fbd5ed6a3ec8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0b97248190bf6bac160fe3d45b |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bb0714c819094e80a2dfc960c99 |
completed | March 27, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c51e0148190be64afb56690b34f |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 27, 2026, 2:10 p.m.