Triple
T23284512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human After All |
E588950
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Make Love
"Make Love" is a mellow, minimalist electronic track by French duo Daft Punk from their 2005 album *Human After All*, known for its repetitive groove and understated, emotive atmosphere.
|
E1579339
|
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: Make Love | Statement: [Human After All, hasTrack, Make Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make Love Context triple: [Human After All, hasTrack, Make Love]
-
A.
Making Love
"Making Love" is a 1982 romantic drama film notable for its then-groundbreaking portrayal of a gay relationship in mainstream American cinema.
-
B.
Sweet Love
"Sweet Love" is a soulful R&B ballad best known as a hit single by American singer Anita Baker.
-
C.
Sweet Love
"Sweet Love" is a track featured on Wizkid’s 2017 album *Sounds from the Other Side*, blending Afrobeats with smooth R&B influences.
-
D.
Try Love
"Try Love" is a song featured on the album "Long Live Love."
-
E.
Beautiful Love
"Beautiful Love" is a classic jazz standard and popular song that has been widely recorded and performed since its introduction in the early 20th century.
- 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: Make Love Triple: [Human After All, hasTrack, Make Love]
Generated description
"Make Love" is a mellow, minimalist electronic track by French duo Daft Punk from their 2005 album *Human After All*, known for its repetitive groove and understated, emotive atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Make Love Target entity description: "Make Love" is a mellow, minimalist electronic track by French duo Daft Punk from their 2005 album *Human After All*, known for its repetitive groove and understated, emotive atmosphere.
-
A.
Making Love
"Making Love" is a 1982 romantic drama film notable for its then-groundbreaking portrayal of a gay relationship in mainstream American cinema.
-
B.
Sweet Love
"Sweet Love" is a soulful R&B ballad best known as a hit single by American singer Anita Baker.
-
C.
Sweet Love
"Sweet Love" is a track featured on Wizkid’s 2017 album *Sounds from the Other Side*, blending Afrobeats with smooth R&B influences.
-
D.
Try Love
"Try Love" is a song featured on the album "Long Live Love."
-
E.
Beautiful Love
"Beautiful Love" is a classic jazz standard and popular song that has been widely recorded and performed since its introduction in the early 20th century.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c8a21308190a1f780a58d56801e |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4d7506b88190a26968cb170690db |
completed | May 19, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4df302b88190ae82ddc991655c27 |
completed | May 19, 2026, 11:48 a.m. |
Created at: April 17, 2026, 4:59 p.m.