Triple
T19242576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Death of Dido |
E481168
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object | Dido |
—
|
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: Dido | Statement: [The Death of Dido, depicts, Dido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dido Context triple: [The Death of Dido, depicts, Dido]
-
A.
Dido
chosen
Dido is the legendary queen of Carthage, best known from classical literature for her tragic love affair with the Trojan hero Aeneas.
-
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.
Queen of Latium
The Queen of Latium is a mythological royal figure in Roman legend, known as the wife of King Latinus and a central character in Virgil’s Aeneid.
-
D.
Queen of Carthage
The Queen of Carthage, traditionally identified as Dido or Elissa, is the legendary founder and first ruler of the ancient North African city of Carthage, famed from both Phoenician lore and Greco-Roman epic.
-
E.
Ossiano
Ossiano is an acclaimed fine-dining seafood restaurant in Dubai known for its immersive underwater aquarium setting and innovative tasting menus.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf2353c819094a9a1af3a858715 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:27 p.m.