Triple
T13734854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P.O.S |
E329910
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Audition |
E30415
|
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: Audition | Statement: [P.O.S, notableWork, Audition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audition Context triple: [P.O.S, notableWork, Audition]
-
A.
Audition
"Audition (The Fools Who Dream)" is a pivotal, emotionally charged song from the film La La Land, performed by Emma Stone’s character as she reflects on the value of dreamers and artistic ambition.
-
B.
Adobe Audition
chosen
Adobe Audition is a professional digital audio workstation software used for recording, editing, mixing, and restoring audio for music, film, and broadcast production.
-
C.
Auto-Tune
Auto-Tune is an audio processing technology that automatically corrects or stylizes vocal pitch, widely used in music production for both subtle tuning and distinctive robotic effects.
-
D.
Audacity
Audacity is an American garage punk band known for its energetic, lo-fi sound and association with the Southern California DIY scene.
-
E.
Studio One
Studio One is the largest and most famous recording space at Abbey Road Studios, renowned for hosting major orchestral, film score, and large-ensemble recordings.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d66cb088190be2621753d0a6740 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.