Triple
T8468669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnaval, Op. 9 |
E200226
|
entity |
| Predicate | portraysCharacter |
P1668
|
FINISHED |
| Object | Colombine |
E125184
|
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: Colombine | Statement: [Carnaval, Op. 9, portraysCharacter, Colombine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colombine Context triple: [Carnaval, Op. 9, portraysCharacter, Colombine]
-
A.
Columbine
chosen
Columbine is a stock character from the Italian commedia dell'arte tradition, typically portrayed as a clever and flirtatious maid and the love interest of Pierrot or Harlequin.
-
B.
Loomis
Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
-
C.
Keene
Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
-
D.
Keene
Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
-
E.
Boerne
Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d445f48190884df64bb1aebd41 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39ead11c8190bf1524713a44a6fe |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.