Triple
T18937431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dot Warner |
E463284
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Dotty |
—
|
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: Dotty | Statement: [Dot Warner, nickname, Dotty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dotty Context triple: [Dot Warner, nickname, Dotty]
-
A.
Dotty
chosen
Dotty is a common diminutive given name, typically used as a nickname for Dorothy.
-
B.
Dottie
Dottie is a dalmatian character from the Disney live-action film "102 Dalmatians," known as one of the central dogs in the story.
-
C.
Dotti
Dotti is an Italian surname most notably associated with Luca Dotti, the son of actress Audrey Hepburn.
-
D.
Little Dot
Little Dot is a classic Harvey Comics character, a young girl humorously obsessed with collecting and surrounding herself with dots and round shapes.
-
E.
Cotty
Cotty is one of the four college girls in the crime drama film "Spring Breakers," known for her involvement in the group’s hedonistic and increasingly dangerous spring break escapades.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e8fdb48190ae70cb23c5bc2c97 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.