Triple
T5105901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleta Adams |
E115091
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Get Here |
E493214
|
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: Get Here | Statement: [Oleta Adams, notableSong, Get Here]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Here Context triple: [Oleta Adams, notableSong, Get Here]
-
A.
Get Here
chosen
"Get Here" is a soulful pop ballad popularized by American singer Oleta Adams, best known for its emotional vocals and association with the Gulf War era.
-
B.
Be Here
"Be Here" is a song by American R&B artist Raphael Saadiq from his debut solo album "Instant Vintage."
-
C.
Be Here Soon
"Be Here Soon" is a music album by American actor and musician Jeff Bridges, showcasing his laid-back, folk-influenced songwriting and distinctive vocal style.
-
D.
Get Me There
Get Me There is a smart ticketing and payment system used across Greater Manchester’s public transport network.
-
E.
Get Lifted
Get Lifted is the Grammy-winning 2004 debut studio album by American singer-songwriter John Legend, blending soul, R&B, and hip hop influences.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec36fe8dc8190a391547043d28e11 |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:41 p.m.