Triple
T13672813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasing Summer |
E327793
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | TDE |
E530291
|
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: TDE | Statement: [Chasing Summer, producer, TDE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TDE Context triple: [Chasing Summer, producer, TDE]
-
A.
TDE
chosen
TDE is a prominent American independent record label known for artists like Kendrick Lamar, SZA, and ScHoolboy Q.
-
B.
TDE Music
TDE Music is the music-focused division of Top Dawg Entertainment, handling the label’s recording, publishing, and related audio ventures.
-
C.
DDE
DDE is the commonly used abbreviation for Dundee East, a parliamentary constituency in Scotland.
-
D.
TDS
TDS is a demanding mountain ultramarathon held as part of the Ultra-Trail du Mont-Blanc event, known for its technical terrain and significant elevation gain around the Mont Blanc region.
-
E.
MDE
MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
- 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.