Triple
T11992422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Green |
E285439
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Song to Song |
E63166
|
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 to Song | Statement: [Sarah Green, notableWork, Song to Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song to Song Context triple: [Sarah Green, notableWork, Song to Song]
-
A.
Song to Song
chosen
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
-
B.
Same Song
"Same Song" is a 1991 hip hop track by Digital Underground, best known for featuring an early recorded appearance by Tupac Shakur.
-
C.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
D.
One Song
"One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
-
E.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.