Triple
T3415034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scala |
E71988
|
entity |
| Predicate | hasImplementation |
P3697
|
FINISHED |
| Object | Dotty |
E350890
|
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: Dotty | Statement: [Scala, hasImplementation, Dotty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dotty Context triple: [Scala, hasImplementation, Dotty]
-
A.
Dotty
chosen
Dotty is a common diminutive given name, typically used as a nickname for Dorothy.
-
B.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
C.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
D.
K.Dot
K.Dot is the early stage name used by acclaimed American rapper and songwriter Kendrick Lamar.
-
E.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb929b8ec8190aef431ec8ea2cf80 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34be16dd48190a51f4e13a6a13a4f |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.