Triple
T13672488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omah Lay |
E327783
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I'm a Mess |
E750684
|
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: I'm a Mess | Statement: [Omah Lay, notableWork, I'm a Mess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm a Mess Context triple: [Omah Lay, notableWork, I'm a Mess]
-
A.
I’m a Mess
chosen
"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.
-
B.
Beautiful Mess
"Beautiful Mess" is a popular country song by American band Diamond Rio, known for its catchy melody and portrayal of love's chaotic charm.
-
C.
All Messed Up
"All Messed Up" is a song featured on the album "Run for Cover," likely within the rock or pop-rock genre.
-
D.
Mess It Up
"Mess It Up" is a song by The Rolling Stones featured on their 2023 studio album "Hackney Diamonds."
-
E.
Please Me
"Please Me" is a 2019 R&B/hip-hop collaboration single by Cardi B and Bruno Mars known for its sultry, retro-inspired slow jam style.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.