Triple
T13795405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8 Diagrams |
E331501
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Take It Back |
E807955
|
NE FINISHED |
How this triple was built (2 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: Take It Back | Statement: [8 Diagrams, hasTrack, Take It Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take It Back Context triple: [8 Diagrams, hasTrack, Take It Back]
-
A.
Take It Back
Take It Back is a gripping legal thriller novel by British author Kia Abdullah that explores themes of prejudice, sexual assault, and the pursuit of justice through a high-stakes courtroom drama.
-
B.
Take It Back
chosen
"Take It Back" is a song featured on the collaborative R&B album "Love, Marriage & Divorce" by Toni Braxton and Babyface.
-
C.
I Take It Back
"I Take It Back" is a song written by American songwriter and producer Buddy Buie, known for his work in pop and Southern rock music.
-
D.
Takin' It Back
"Takin' It Back" is a pop album by Meghan Trainor that marks her return to a retro-inspired sound and themes of self-confidence and empowerment.
-
E.
Get It Back
"Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08508688190b7e8c33e6b65e25d |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.