Triple
T18081026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romances |
E432688
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Inolvidable |
—
|
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: Inolvidable | Statement: [Romances, hasPart, Inolvidable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inolvidable Context triple: [Romances, hasPart, Inolvidable]
-
A.
Unforgettable
"Unforgettable" is a 2017 hit single by rapper French Montana featuring Swae Lee, known for its melodic Afrobeat-influenced sound and global commercial success.
-
B.
Unforgettable
Unforgettable is an American crime drama television series centered on a detective with hyperthymesia, allowing her to remember every detail of her life while solving complex cases.
-
C.
Unforgettable
chosen
"Unforgettable" is a classic romantic ballad made famous by Nat King Cole, renowned for its smooth melody and enduring popularity as a jazz and pop standard.
-
D.
Unforgettable
Unforgettable is a 1996 science fiction thriller film about a man who uses an experimental drug to relive another person's memories in order to solve his wife's murder.
-
E.
Unforgettable
Unforgettable is a 2011 memoir by La La Anthony that chronicles her life, career, and personal experiences in the entertainment industry.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fa080081909e1a05e98185a026 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.