Triple
T16070004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Please Excuse Me for Being Antisocial |
E389834
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tay Keith |
E540098
|
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: Tay Keith | Statement: [Please Excuse Me for Being Antisocial, producer, Tay Keith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tay Keith Context triple: [Please Excuse Me for Being Antisocial, producer, Tay Keith]
-
A.
Tay Keith
chosen
Tay Keith is an American record producer and songwriter best known for crafting hard-hitting trap beats for artists like Drake, Travis Scott, and Lil Baby.
-
B.
Tyga
Tyga is an American rapper and songwriter known for hits like "Rack City" and his association with the Young Money Entertainment label.
-
C.
Ray Kay
Ray Kay is a Norwegian music video director known for creating visually striking videos for numerous high-profile pop and R&B artists.
-
D.
Travie McCoy
Travie McCoy is an American rapper, singer, and songwriter best known as the frontman of Gym Class Heroes and for his solo hit "Billionaire."
-
E.
Daniel Tay
Daniel Tay is an American former child actor best known for playing Michael Hobbs in the Christmas comedy film "Elf."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bd9578819097e7cb1108b1f6f7 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe4827cd48190aa470c6537e72508 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.