Triple
T6269579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Telephone Man |
E140494
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object |
Lost in Love
"Lost in Love" is a song best known as a soft rock ballad popularized by the Australian duo Air Supply.
|
E579733
|
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: Lost in Love | Statement: [Mr. Telephone Man, followedBySingle, Lost in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost in Love Context triple: [Mr. Telephone Man, followedBySingle, Lost in Love]
-
A.
Lost in Love
"Lost in Love" is a song by the American R&B group New Edition, showcasing their signature harmonies and romantic ballad style.
-
B.
Still in Love
"Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
-
C.
Love Is Gone
"Love Is Gone" is a popular electronic dance track by French DJ and producer David Guetta that helped cement his rise in the international EDM scene.
-
D.
Stuck in Love
Stuck in Love is a 2012 romantic comedy-drama film that follows a dysfunctional family of writers as they navigate love, heartbreak, and reconciliation over the course of a year.
-
E.
Without Love
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
- 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: Lost in Love Triple: [Mr. Telephone Man, followedBySingle, Lost in Love]
Generated description
"Lost in Love" is a song best known as a soft rock ballad popularized by the Australian duo Air Supply.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lost in Love Target entity description: "Lost in Love" is a song best known as a soft rock ballad popularized by the Australian duo Air Supply.
-
A.
Lost in Love
"Lost in Love" is a song by the American R&B group New Edition, showcasing their signature harmonies and romantic ballad style.
-
B.
Still in Love
"Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
-
C.
Love Is Gone
"Love Is Gone" is a popular electronic dance track by French DJ and producer David Guetta that helped cement his rise in the international EDM scene.
-
D.
Stuck in Love
Stuck in Love is a 2012 romantic comedy-drama film that follows a dysfunctional family of writers as they navigate love, heartbreak, and reconciliation over the course of a year.
-
E.
Without Love
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a3f1d081908ccff88db94b1f9c |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24460f1bc8190b15ca58331410ec2 |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c2a5a6157c8190a57a297cf606eecb |
completed | March 24, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2a60a92cc8190847e242482788ff3 |
completed | March 24, 2026, 2:56 p.m. |
Created at: March 22, 2026, 4:25 p.m.