Triple
T23145190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mona Bone Jakon |
E577566
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Fill My Eyes
"Fill My Eyes" is a reflective folk-rock song by Cat Stevens from his 1970 album *Mona Bone Jakon*.
|
E1574625
|
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: Fill My Eyes | Statement: [Mona Bone Jakon, hasTrack, Fill My Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fill My Eyes Context triple: [Mona Bone Jakon, hasTrack, Fill My Eyes]
-
A.
On My Eyes
"On My Eyes" is a poetry collection by American poet Larry Eigner, associated with the Black Mountain and postmodernist traditions.
-
B.
My Eyes
"My Eyes" is a song by the American rock band Neon Trees, known for its synth-driven pop-rock sound and emotive lyrics.
-
C.
In Your Eyes
"In Your Eyes" is a renowned 1986 pop-rock ballad by Peter Gabriel, celebrated for its emotional depth and iconic use in the film *Say Anything...*.
-
D.
In Your Eyes
"In Your Eyes" is a romantic ballad composed by Michael Masser, best known through George Benson’s soulful 1983 recording.
-
E.
In Your Eyes
In Your Eyes is a 2014 romantic science-fiction film written by Joss Whedon about two strangers who share a mysterious telepathic bond.
- 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: Fill My Eyes Triple: [Mona Bone Jakon, hasTrack, Fill My Eyes]
Generated description
"Fill My Eyes" is a reflective folk-rock song by Cat Stevens from his 1970 album *Mona Bone Jakon*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fill My Eyes Target entity description: "Fill My Eyes" is a reflective folk-rock song by Cat Stevens from his 1970 album *Mona Bone Jakon*.
-
A.
On My Eyes
"On My Eyes" is a poetry collection by American poet Larry Eigner, associated with the Black Mountain and postmodernist traditions.
-
B.
My Eyes
"My Eyes" is a song by the American rock band Neon Trees, known for its synth-driven pop-rock sound and emotive lyrics.
-
C.
In Your Eyes
"In Your Eyes" is a renowned 1986 pop-rock ballad by Peter Gabriel, celebrated for its emotional depth and iconic use in the film *Say Anything...*.
-
D.
In Your Eyes
"In Your Eyes" is a romantic ballad composed by Michael Masser, best known through George Benson’s soulful 1983 recording.
-
E.
In Your Eyes
In Your Eyes is a 2014 romantic science-fiction film written by Joss Whedon about two strangers who share a mysterious telepathic bond.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecd40108190aaad7faf754b7936 |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3093de588190bafd130d38fb8d01 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c351d75a881909f30bc078035f1eb |
completed | May 19, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c359a4fb4819082d923db91b3b14b |
completed | May 19, 2026, 10:04 a.m. |
Created at: April 17, 2026, 4:01 p.m.