Triple
T4521580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suit & Tie |
E103281
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Tennman Records |
E450387
|
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: Tennman Records | Statement: [Suit & Tie, label, Tennman Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tennman Records Context triple: [Suit & Tie, label, Tennman Records]
-
A.
Tennman Records
chosen
Tennman Records is a record label founded by Justin Timberlake, known for releasing some of his music projects and working with various pop and R&B artists.
-
B.
Shanachie Records
Shanachie Records is an American independent record label known for releasing folk, world, jazz, and roots music.
-
C.
Rockingale Records
Rockingale Records is an independent record label founded by singer-songwriter Carole King to release her own music and related projects.
-
D.
Kemosabe Records
Kemosabe Records is an American record label founded by producer Dr. Luke, known for signing prominent pop and hip-hop artists such as Doja Cat.
-
E.
Rowdy Records
Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd574bd6908190b939d92b5809b101 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb90b785c81909e76469819f3a487 |
completed | March 20, 2026, 9:15 p.m. |
Created at: March 20, 2026, 1:02 p.m.