Triple
T23191998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love, Marriage & Divorce |
E579766
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Take It Back |
—
|
NE NERFINISHED |
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: [Love, Marriage & Divorce, hasPart, Take It Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take It Back Context triple: [Love, Marriage & Divorce, hasPart, 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.
Take It Back
"Take It Back" is a song by the Wu-Tang Clan, released as a single from their 2007 studio album "8 Diagrams."
-
D.
Take It Back
"Take It Back" is a song by Norah Jones from her 2012 album *Little Broken Hearts*, blending her signature mellow vocals with atmospheric, indie-pop production.
-
E.
Take It Back
"Take It Back" is a track by Blondie featured on their 2014 album Ghosts of Download, blending the band's classic pop-rock sensibilities with contemporary electronic influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd86640819092308751d23c6642 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.