Triple
T984484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy Gale |
E21247
|
entity |
| Predicate | wears |
P271
|
FINISHED |
| Object | ruby slippers |
E48457
|
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: ruby slippers | Statement: [Dorothy Gale, wears, ruby slippers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ruby slippers Context triple: [Dorothy Gale, wears, ruby slippers]
-
A.
ruby slippers
chosen
The ruby slippers are the sparkling, magical shoes worn by Dorothy in the classic film "The Wizard of Oz," symbolizing her journey and the power to return home.
-
B.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
C.
Pale Hose
Pale Hose is a traditional nickname for the Chicago White Sox Major League Baseball team.
-
D.
Waterfoot
Waterfoot is a small town in the Rossendale Valley of Lancashire, England, known historically for its textile industry and scenic Pennine surroundings.
-
E.
Ipanema Gisele Bündchen sandals
Ipanema Gisele Bündchen sandals are a fashion-forward line of Brazilian flip-flops and sandals co-designed by supermodel Gisele Bündchen, known for their casual beach style and eco-conscious materials.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ce3c6fc81909fbbf04eef1b997e |
completed | March 7, 2026, 12:41 p.m. |
Created at: March 1, 2026, 7:41 p.m.