Triple
T10009297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story (film score) |
E198329
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | You've Got a Friend in Me |
E198328
|
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: You've Got a Friend in Me | Statement: [Toy Story (film score), notableSong, You've Got a Friend in Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You've Got a Friend in Me Context triple: [Toy Story (film score), notableSong, You've Got a Friend in Me]
-
A.
You’ve Got a Friend in Me
chosen
"You’ve Got a Friend in Me" is a popular Randy Newman song best known as the warm, nostalgic theme from Pixar’s animated film Toy Story.
-
B.
You’ve Got a Friend
"You’ve Got a Friend" is a classic 1971 pop ballad written by Carole King that became an enduring anthem of comfort and support, popularized by both King and James Taylor.
-
C.
My Friend
"My Friend" is a song featured on the EP "Available Light."
-
D.
When I Need a Friend
"When I Need a Friend" is a choral, hymn-like ballad by Coldplay that appears as a bonus track on their 2019 album Everyday Life.
-
E.
Smilin' Through
Smilin' Through is a romantic drama film, best known in its 1932 MGM adaptation, about enduring love and loss across generations.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd38659c8190830d223edbfd74ec |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a7265b88190b69e7869a96bb404 |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.