Triple
T9512880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lift Me Up |
E229443
|
entity |
| Predicate | songwriter |
P1141
|
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: [Lift Me Up, songwriter, Tems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tems Context triple: [Lift Me Up, songwriter, 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.
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.
-
C.
Temoq
Temoq is an indigenous Aslian language spoken by a small Orang Asli community in Peninsular Malaysia.
-
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 a Gur language spoken primarily in Togo and neighboring regions of West Africa.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986aa99c8190b2eaa7f9b111aa2e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a3e93a481908569a4ec80c834ab |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:58 p.m.