Triple
T17359844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song Shilun |
E422037
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Song |
—
|
NE ONNED1 |
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: Song | Statement: [Song Shilun, familyName, Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song Context triple: [Song Shilun, familyName, Song]
-
A.
Song
chosen
Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
-
B.
Music (song)
"Music" is a song by Madonna that serves as the title track and lead single from her 2000 album of the same name, blending dance-pop and electronic influences.
-
C.
Singel
Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
-
D.
Song 1
Song 1 is a multimedia artwork by contemporary American artist Doug Aitken, known for its immersive, cinematic exploration of sound, movement, and urban experience.
-
E.
Art Song
An art song is a type of classical vocal music composition, typically for solo voice and piano, that sets poetic texts to music with an emphasis on expressive interpretation and musical sophistication.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4be7448190988593ee342348c1 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01955e4cb481909e3193439bb85cd8 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.