Triple
T10364625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda Song |
E244220
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Song |
E380391
|
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: Song | Statement: [Brenda Song, familyName, Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song Context triple: [Brenda Song, 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.
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.
-
C.
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.
-
D.
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.
-
E.
Tune
Tune is the surname of American actor, dancer, singer, theatre director, and choreographer Tommy Tune.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c2d2748190b871b928d5a094f8 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, noon