Triple
T4330543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aladdin (2019 film) |
E96736
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Friend Like Me |
E270871
|
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: Friend Like Me | Statement: [Aladdin (2019 film), hasSong, Friend Like Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friend Like Me Context triple: [Aladdin (2019 film), hasSong, Friend Like Me]
-
A.
Friend Like Me
chosen
"Friend Like Me" is a show-stopping, jazz-infused musical number from Disney’s animated film Aladdin, performed by the Genie as he demonstrates his magical powers.
-
B.
Guy Like Me
"Guy Like Me" is a song by the American rock band Legend.
-
C.
Do Like You
"Do Like You" is a song by Stevie Wonder from his acclaimed 1980 album *Hotter than July*.
-
D.
Love Like This
"Love Like This" is a 1998 R&B hit single by American singer Faith Evans, known for its infectious groove and prominent sampling of Chic's "Chic Cheer."
-
E.
A Girl Like Me
A Girl Like Me is Rihanna’s second studio album, featuring a blend of Caribbean-influenced pop and R&B that helped establish her as an international star.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09fad588190b488012b4fc6cb8c |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.