Triple
T8790422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 NBA All-Star Game |
E209147
|
entity |
| Predicate | halftimePerformer |
P1363
|
FINISHED |
| Object | Tems |
E292172
|
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: Tems | Statement: [2023 NBA All-Star Game, halftimePerformer, Tems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tems Context triple: [2023 NBA All-Star Game, halftimePerformer, Tems]
-
A.
Tems
chosen
Tems is a Nigerian singer, songwriter, and producer known for her soulful Afrobeat and R&B sound and for her global breakout collaborations, including "Essence" with Wizkid.
-
B.
Tema Mantse
Tema Mantse is the traditional Ga chief and custodian of customary authority for the coastal city of Tema in Ghana.
-
C.
Tempi
Tempi is a municipality in the Thessaly region of central Greece, known for its scenic location near the Vale of Tempe and along the Pinios River.
-
D.
The Temp
The Temp is a film directed by Tom Holland, best known for his work in the horror genre, including the cult classic Fright Night.
-
E.
Tem
Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.