Triple
T21721667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetheart |
E536171
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Sweetheart |
—
|
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: Sweetheart | Statement: [Sweetheart, hasTitle, Sweetheart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweetheart Context triple: [Sweetheart, hasTitle, Sweetheart]
-
A.
Sweetheart
"Sweetheart" is a song featured on the album "#1's."
-
B.
Sweetheart
Sweetheart is a 2019 survival horror film in which a young woman stranded on a deserted island must confront a terrifying sea monster.
-
C.
Sweetheart
Sweetheart is a track from the 2006 album "Life in 1472" by Jermaine Dupri.
-
D.
Sweet Sweetheart
"Sweet Sweetheart" is a song featured on the soundtrack of the 2010 film "Scott Pilgrim vs. the World," known for its indie rock style and association with the movie's fictional band.
-
E.
Sweet One
"Sweet One" is a smooth, mid-tempo Afrobeats track by Nigerian artist Wizkid from his acclaimed album *Made in Lagos*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96f1fbc8190a202f834aec1a319 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.