Triple
T15163983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright Flight |
E362286
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Remember Me |
E31081
|
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: I Remember Me | Statement: [Bright Flight, hasPart, I Remember Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Remember Me Context triple: [Bright Flight, hasPart, I Remember Me]
-
A.
I Remember Me
chosen
"I Remember Me" is the second studio album by American singer and actress Jennifer Hudson, showcasing her powerful R&B and soul vocals.
-
B.
I Remember
"I Remember" is an R&B ballad by Keyshia Cole known for its emotional vocals and themes of heartbreak and empowerment.
-
C.
I Remember You
"I Remember You" is a song by the Icelandic post-rock band Rökkurró, featured on their album "Leave Home."
-
D.
I Remember You
"I Remember You" is a power ballad by American heavy metal band Skid Row that became one of their most popular and enduring songs.
-
E.
I Remember You
"I Remember You" is a popular country and pop ballad most famously recorded by Slim Whitman, known for its smooth vocals and romantic, nostalgic lyrics.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064b21ac81908b793bdbd741bcd8 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffdf65c8190bf629dfc32b97caa |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:08 a.m.