Triple
T9426277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak Now |
E227271
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Mine |
E798207
|
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: Mine | Statement: [Speak Now, single, Mine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mine Context triple: [Speak Now, single, Mine]
-
A.
Mine
chosen
"Mine" is a country-pop song by Taylor Swift that opens her 2010 album *Speak Now* with a narrative about young love and emotional vulnerability.
-
B.
Miners
Miners is the nickname for the University of Texas at El Paso’s athletic teams, most prominently its NCAA Division I football program.
-
C.
Minning
Minning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
-
D.
Mines
Mines is a family surname shared by individuals such as William W. Mines.
-
E.
Mystery Mine
Mystery Mine is a themed steel roller coaster at Dollywood known for its dark ride elements, immersive storytelling, and sudden drops.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1102f93488190bd1ae232c1e34830 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.