Triple
T9485681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiana’s Bayou Adventure |
E228753
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object | “Almost There” |
E340827
|
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: “Almost There” | Statement: [Tiana’s Bayou Adventure, includesSong, “Almost There”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Almost There” Context triple: [Tiana’s Bayou Adventure, includesSong, “Almost There”]
-
A.
Almost There
chosen
"Almost There" is an upbeat, jazz-influenced song from Disney’s animated film *The Princess and the Frog*, sung by Tiana as she expresses her determination to achieve her dreams.
-
B.
“The Last Time”
“The Last Time” is a song featured on the punk rock album *Love Is for Losers* by The Longshot, Billie Joe Armstrong’s side project.
-
C.
Almost (Sweet Music)
"Almost (Sweet Music)" is a soulful, jazz-inflected song by Irish musician Hozier that reflects on the legacy of classic music and its emotional resonance.
-
D.
I'm Almost Ready
"I'm Almost Ready" is a country rock song by the American band Pure Prairie League.
-
E.
So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804fb2b4819084c7f5a842dbe5a6 |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d1326b8819084c6d9490b7a96dc |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.