Triple
T16437268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flesh & Blood |
E399208
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Always & Forever
"Always & Forever" is a song featured on the album "Flesh & Blood."
|
E1214269
|
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: Always & Forever | Statement: [Flesh & Blood, hasTrack, Always & Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Always & Forever Context triple: [Flesh & Blood, hasTrack, Always & Forever]
-
A.
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.
-
B.
Now & Forever
"Now & Forever" is a track by Canadian rapper Drake from his 2015 commercial mixtape *If You’re Reading This It’s Too Late*.
-
C.
Now and Forever
Now and Forever is a title shared by multiple creative works, including films, novels, and songs, typically centered on enduring love or timeless commitment.
-
D.
Now and Forever
"Now and Forever" is a romantic ballad by Carole King, best known as one of her later signature songs featured on her live album *The Living Room Tour*.
-
E.
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.
- 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: Always & Forever Triple: [Flesh & Blood, hasTrack, Always & Forever]
Generated description
"Always & Forever" is a song featured on the album "Flesh & Blood."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Always & Forever Target entity description: "Always & Forever" is a song featured on the album "Flesh & Blood."
-
A.
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.
-
B.
Now & Forever
"Now & Forever" is a track by Canadian rapper Drake from his 2015 commercial mixtape *If You’re Reading This It’s Too Late*.
-
C.
Now and Forever
Now and Forever is a title shared by multiple creative works, including films, novels, and songs, typically centered on enduring love or timeless commitment.
-
D.
Now and Forever
"Now and Forever" is a romantic ballad by Carole King, best known as one of her later signature songs featured on her live album *The Living Room Tour*.
-
E.
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.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458b91bc8190b40af99faf5e74ab |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00487c4b9081909188e9858626674a |
completed | May 10, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0048e5175c81909d293bbf086b2f2e |
completed | May 10, 2026, 8:59 a.m. |
Created at: April 10, 2026, 5:10 a.m.