Triple
T17749332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Road Home |
E443071
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | San Bao |
—
|
NE NERFINISHED |
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: San Bao | Statement: [The Road Home, musicBy, San Bao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Bao Context triple: [The Road Home, musicBy, San Bao]
-
A.
San Bao
chosen
San Bao is a Chinese composer best known for his film scores and music for director Zhang Yimou’s movies.
-
B.
Cheng Tai Shen
Cheng Tai Shen is an actor known for his role in the critically acclaimed Mexican drama film "Biutiful."
-
C.
Bao Si
Bao Si was a famed beauty of ancient China whose relationship with King You of Zhou is often blamed in legend for contributing to the downfall of the Western Zhou dynasty.
-
D.
Wang Gi
Wang Gi, better known as Emperor Gongmin of Goryeo, was a 14th-century Korean monarch noted for his efforts to reform government corruption and reduce Mongol influence over the kingdom.
-
E.
Su Zhu
Su Zhu is the birth name of Hua Guofeng, the Chinese Communist leader who briefly succeeded Mao Zedong as paramount leader of China in the late 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.