Triple
T13515946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetie |
E322759
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sweetie |
E322759
|
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: Sweetie | Statement: [Sweetie, mainCharacter, Sweetie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweetie Context triple: [Sweetie, mainCharacter, Sweetie]
-
A.
Sweetie
chosen
Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
-
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.
Sweetheart
"Sweetheart" is a song featured on the album "#1's."
-
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.
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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75494642881909f33962afe26f427 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.