Triple
T22430816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTF Didot |
E554493
|
entity |
| Predicate | subclassOf |
P1244
|
FINISHED |
| Object | Didone |
—
|
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: Didone | Statement: [HTF Didot, subclassOf, Didone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Didone Context triple: [HTF Didot, subclassOf, Didone]
-
A.
Didone
chosen
Didone is a high-contrast serif typeface classification characterized by vertical stress, thin hairlines, and strong, unbracketed serifs, commonly associated with elegant, modern typography.
-
B.
Dido
Dido is an English singer-songwriter known for her mellow, melodic pop music and worldwide hits such as "Thank You" and "White Flag."
-
C.
Dido
Dido are an indigenous Northeast Caucasian ethnic group primarily inhabiting the mountainous regions of Dagestan in Russia, known for their distinct Tsezic language and traditional highland culture.
-
D.
Dido
Dido is the legendary queen of Carthage, best known from classical literature for her tragic love affair with the Trojan hero Aeneas.
-
E.
Possia
Possia is a brand name for the antiplatelet medication ticagrelor, used to reduce the risk of cardiovascular events such as heart attack and stroke.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a311b148190bdb752f3f067bb3f |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.