Triple
T20959137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear Me |
E516189
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Dear Me |
—
|
NE NERFINISHED |
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: Dear Me | Statement: [Dear Me, hasTitle, Dear Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Me Context triple: [Dear Me, hasTitle, Dear Me]
-
A.
Dear Me
chosen
"Dear Me" is the witty and reflective autobiography of British actor, writer, and raconteur Peter Ustinov.
-
B.
Another Me
Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
-
C.
Better Me
"Better Me" is a song featured on Keyshia Cole’s R&B album "Calling All Hearts."
-
D.
What It's Like to Be Me
"What It's Like to Be Me" is a pop/R&B song by Britney Spears, co-written with Justin Timberlake, that closes her 2001 album "Britney" with a more personal, introspective tone.
-
E.
So Me
So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6e50988190a564d2aaf1a9bc54 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:29 p.m.