Triple
T19993990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tables Will Turn |
E494138
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Tables Will Turn |
—
|
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: Tables Will Turn | Statement: [Tables Will Turn, hasTitle, Tables Will Turn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tables Will Turn Context triple: [Tables Will Turn, hasTitle, Tables Will Turn]
-
A.
Tables Will Turn
chosen
"Tables Will Turn" is a song by the reggae band Broken Silence, known for its socially conscious lyrics and roots-influenced sound.
-
B.
Turning Tables
"Turning Tables" is a soulful pop ballad by Adele, co-written with Ryan Tedder, that appears on her acclaimed 2011 album "21."
-
C.
Crumbs Off the Table
"Crumbs Off the Table" is a song by producer and DJ RJD2, known for its soulful, sample-based hip-hop sound.
-
D.
Leaving the Table
"Leaving the Table" is a reflective, melancholic song by Leonard Cohen that explores themes of resignation, aging, and emotional withdrawal.
-
E.
At My Table
At My Table is a cookbook and accompanying television series by British food writer Nigella Lawson that focuses on relaxed, home-style recipes for everyday cooking and entertaining.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.