Triple
T3859800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hairspray |
E90106
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
Without Love
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
|
E398000
|
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: Without Love | Statement: [Hairspray, hasSong, Without Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Without Love Context triple: [Hairspray, hasSong, Without Love]
-
A.
For Love Alone
"For Love Alone" is a romance novel written by Ivana Trump that draws on her experiences in high society and glamorous international settings.
-
B.
No Other Love
"No Other Love" is a soulful R&B track by John Legend from his 2008 album *Evolver*, known for its smooth vocals and romantic theme.
-
C.
No Other Love
No Other Love is a popular romantic song composed by Richard Rodgers that has become a standard in the American songbook.
-
D.
No Time for Love
No Time for Love is a 1943 romantic comedy film directed by Mitchell Leisen, starring Claudette Colbert and Fred MacMurray.
-
E.
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.
- 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: Without Love Triple: [Hairspray, hasSong, Without Love]
Generated description
"Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Without Love Target entity description: "Without Love" is a lively duet-turned-ensemble love song from the musical Hairspray, celebrating young romance and defiance of social barriers.
-
A.
For Love Alone
"For Love Alone" is a romance novel written by Ivana Trump that draws on her experiences in high society and glamorous international settings.
-
B.
No Other Love
"No Other Love" is a soulful R&B track by John Legend from his 2008 album *Evolver*, known for its smooth vocals and romantic theme.
-
C.
No Other Love
No Other Love is a popular romantic song composed by Richard Rodgers that has become a standard in the American songbook.
-
D.
No Time for Love
No Time for Love is a 1943 romantic comedy film directed by Mitchell Leisen, starring Claudette Colbert and Fred MacMurray.
-
E.
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.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1ff39c8190b83a88abd840a0e3 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c7d99208190baee9830cc448eee |
completed | March 14, 2026, 8:29 a.m. |
| NEDg | Description generation | batch_69b5204ff8a081908976780f5f04eccd |
completed | March 14, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b520a4c40c8190bb62314cac54215f |
completed | March 14, 2026, 8:47 a.m. |
Created at: March 9, 2026, 3:19 p.m.