Triple
T12005932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hackney Diamonds |
E285777
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Mess It Up |
E960294
|
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: Mess It Up | Statement: [Hackney Diamonds, hasSingle, Mess It Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mess It Up Context triple: [Hackney Diamonds, hasSingle, Mess It Up]
-
A.
Mess It Up
chosen
"Mess It Up" is a song by The Rolling Stones featured on their 2023 studio album "Hackney Diamonds."
-
B.
Mess Around
"Mess Around" is a lively 1953 rhythm and blues song by Ray Charles that became one of his early hits and showcases his energetic piano style and soulful vocals.
-
C.
Messin' Around
"Messin' Around" is a classic blues piano track by Memphis Slim that became one of his signature hits in the mid-20th century.
-
D.
I’m a Mess
"I'm a Mess" is a pop song by American singer Bebe Rexha that blends confessional lyrics about emotional turmoil with an upbeat, radio-friendly production.
-
E.
All Messed Up
"All Messed Up" is a song featured on the album "Run for Cover," likely within the rock or pop-rock genre.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.