Triple
T8067015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonna Love Me |
E188267
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | K.T.S.E. |
E184877
|
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: K.T.S.E. | Statement: [Gonna Love Me, partOfAlbum, K.T.S.E.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K.T.S.E. Context triple: [Gonna Love Me, partOfAlbum, K.T.S.E.]
-
A.
K.T.S.E.
chosen
K.T.S.E. is Teyana Taylor’s critically acclaimed 2018 R&B album known for its soulful production and emotionally candid songwriting.
-
B.
KSE
KSE is a major American sports and entertainment holding company that owns and operates multiple professional sports teams, venues, and media properties.
-
C.
KTTS
KTTS is the ICAO airport code for the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida, a specialized runway used primarily for space shuttle and space-related aircraft operations.
-
D.
KJT
KJT is the IATA airport code for Kertajati International Airport, a major airport serving West Java, Indonesia.
-
E.
TSE
TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff75d208190b7c53d2fe55878ac |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe67d9dc8190ad72e3f5ce7478e3 |
completed | April 1, 2026, 6:42 a.m. |
Created at: March 30, 2026, 5:26 p.m.