Triple
T12777264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Carson |
E305409
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object |
I See the Want To in Your Eyes
"I See the Want To in Your Eyes" is a country song best known for its hit recording by Conway Twitty in the early 1970s.
|
E1002442
|
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: I See the Want To in Your Eyes | Statement: [Wayne Carson, wroteSong, I See the Want To in Your Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I See the Want To in Your Eyes Context triple: [Wayne Carson, wroteSong, I See the Want To in Your Eyes]
-
A.
What I See
"What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
-
B.
I See You
"I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
-
C.
I See You
"I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
-
D.
Do You See
"Do You See" is a 1994 hip hop single by West Coast rapper and producer Warren G, known for its smooth G-funk production and reflective lyrics.
-
E.
Can You See Me
"Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
- 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: I See the Want To in Your Eyes Triple: [Wayne Carson, wroteSong, I See the Want To in Your Eyes]
Generated description
"I See the Want To in Your Eyes" is a country song best known for its hit recording by Conway Twitty in the early 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I See the Want To in Your Eyes Target entity description: "I See the Want To in Your Eyes" is a country song best known for its hit recording by Conway Twitty in the early 1970s.
-
A.
What I See
"What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
-
B.
I See You
"I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
-
C.
I See You
"I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
-
D.
Do You See
"Do You See" is a 1994 hip hop single by West Coast rapper and producer Warren G, known for its smooth G-funk production and reflective lyrics.
-
E.
Can You See Me
"Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e595e008190b42dff3012d17d66 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f6873e6d548190a7bf25746e740c8a |
completed | May 2, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f689aea1048190b1425f289d1a611a |
completed | May 2, 2026, 11:33 p.m. |
Created at: April 9, 2026, 5:29 p.m.