Triple
T18030776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 Watts |
E431381
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
For Always
"For Always" is a song by Tyrese from his R&B album "2000 Watts."
|
E1303369
|
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: For Always | Statement: [2000 Watts, hasPart, For Always]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: For Always Context triple: [2000 Watts, hasPart, For Always]
-
A.
For Forever
"For Forever" is a central emotional ballad from the Broadway musical "Dear Evan Hansen," in which the protagonist imagines an idealized friendship to cope with loneliness and grief.
-
B.
Love Always
"Love Always" is a romantic R&B ballad by American singer El DeBarge, known for its smooth vocals and heartfelt lyrics.
-
C.
Forever & Always
"Forever & Always" is a country-pop breakup song by Taylor Swift, featured on her album "Fearless" and known for its emotional lyrics about a sudden end to a relationship.
-
D.
Always (But Not Forever)
Always (But Not Forever) is a semi-autobiographical romantic drama film written and directed by Henry Jaglom that explores the complexities of love, divorce, and reconciliation.
-
E.
Siempre
Siempre is a studio album by the multinational classical crossover vocal group Il Divo, featuring their signature operatic pop interpretations of popular songs.
- 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: For Always Triple: [2000 Watts, hasPart, For Always]
Generated description
"For Always" is a song by Tyrese from his R&B album "2000 Watts."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: For Always Target entity description: "For Always" is a song by Tyrese from his R&B album "2000 Watts."
-
A.
For Forever
"For Forever" is a central emotional ballad from the Broadway musical "Dear Evan Hansen," in which the protagonist imagines an idealized friendship to cope with loneliness and grief.
-
B.
Love Always
"Love Always" is a romantic R&B ballad by American singer El DeBarge, known for its smooth vocals and heartfelt lyrics.
-
C.
Forever & Always
"Forever & Always" is a country-pop breakup song by Taylor Swift, featured on her album "Fearless" and known for its emotional lyrics about a sudden end to a relationship.
-
D.
Always (But Not Forever)
Always (But Not Forever) is a semi-autobiographical romantic drama film written and directed by Henry Jaglom that explores the complexities of love, divorce, and reconciliation.
-
E.
Siempre
Siempre is a studio album by the multinational classical crossover vocal group Il Divo, featuring their signature operatic pop interpretations of popular songs.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349ad32088190a90335c252721023 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034dec40d88190acd13a22fa09a938 |
completed | May 12, 2026, 3:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034e9137a88190bb834e9e1a2e1a6f |
completed | May 12, 2026, 4 p.m. |
Created at: April 10, 2026, 10:25 a.m.