Triple
T6821314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On a Clear Day You Can See Forever |
E156903
|
entity |
| Predicate | hasMusicNumber |
P20452
|
FINISHED |
| Object |
Melinda
"Melinda" is a musical number from the stage and film musical *On a Clear Day You Can See Forever*, known for its romantic, melodic style.
|
E621798
|
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: Melinda | Statement: [On a Clear Day You Can See Forever, hasMusicNumber, Melinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melinda Context triple: [On a Clear Day You Can See Forever, hasMusicNumber, Melinda]
-
A.
Melinda
Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
-
B.
Melinda
Melinda is a young, impressionable girl in the play "Inherit the Wind," serving as a minor character who reflects the town’s attitudes during the famous trial.
-
C.
Melissa
Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
-
D.
Melissa
"Melissa" is a classic, melodic Southern rock ballad by the Allman Brothers Band, known for its gentle acoustic sound and reflective lyrics.
-
E.
Melissa
Melissa is a feminine given name commonly used in English-speaking countries, derived from the Greek word for "honeybee."
- 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: Melinda Triple: [On a Clear Day You Can See Forever, hasMusicNumber, Melinda]
Generated description
"Melinda" is a musical number from the stage and film musical *On a Clear Day You Can See Forever*, known for its romantic, melodic style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melinda Target entity description: "Melinda" is a musical number from the stage and film musical *On a Clear Day You Can See Forever*, known for its romantic, melodic style.
-
A.
Melinda
Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
-
B.
Melinda
Melinda is a young, impressionable girl in the play "Inherit the Wind," serving as a minor character who reflects the town’s attitudes during the famous trial.
-
C.
Melissa
"Melissa" is a classic, melodic Southern rock ballad by the Allman Brothers Band, known for its gentle acoustic sound and reflective lyrics.
-
D.
Melissa
Melissa is a small but rapidly growing suburban city in North Texas, located within the Dallas–Fort Worth metropolitan area.
-
E.
Melissa
Melissa is a feminine given name commonly used in English-speaking countries, derived from the Greek word for "honeybee."
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d35a8af08190a172c7baa16a3b62 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723eb23c8819085d2e8a8ce9c3c90 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c724b7b31081909c2bab4a3ba6e9f9 |
completed | March 28, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c72536c4808190b9012e282cf02da4 |
completed | March 28, 2026, 12:47 a.m. |
Created at: March 27, 2026, 2:17 p.m.