Triple
T9633935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dev |
E232878
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | Dot |
unclear NED1
|
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: Dot | Statement: [Dev, fictionalUniverse, Dot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dot Context triple: [Dev, fictionalUniverse, Dot]
-
A.
Dot
Dot is a short animated film created by Aardman Animations that follows a tiny girl navigating a giant, rapidly unraveling world, notable for its innovative use of stop-motion and mobile phone camera technology.
-
B.
Dot
Dot is a young, adventurous ant princess from Pixar's animated film "A Bug's Life."
-
C.
Dot
Dot is a central character in Stephen Sondheim and James Lapine’s musical "Sunday in the Park with George," serving as Georges Seurat’s muse and lover and embodying themes of art, sacrifice, and personal fulfillment.
-
D.
Dot
Dot is a stage play by Colman Domingo that explores family dynamics and the challenges of caring for a matriarch with dementia during the holidays.
-
E.
DOT
DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189fa706c819080e8ac2411f57d93 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:11 p.m.