Triple
T9689897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Troyens |
E234509
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Didon |
E110999
|
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: Didon | Statement: [Les Troyens, character, Didon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Didon Context triple: [Les Troyens, character, Didon]
-
A.
Dido
Dido is an English singer-songwriter known for her mellow, melodic pop music and worldwide hits such as "Thank You" and "White Flag."
-
B.
Dido
chosen
Dido is the legendary queen of Carthage, best known from classical literature for her tragic love affair with the Trojan hero Aeneas.
-
C.
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.
-
D.
Agaete
Agaete is a coastal town on the northwest of Gran Canaria in Spain’s Canary Islands, known for its rugged cliffs, natural pools, and traditional fishing harbor.
-
E.
Selinous
Selinous is an ancient town in the region of Cilicia, in what is now southern Turkey, known from classical antiquity.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d02b20881909d7c0d5d6aaafcb0 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1911427d48190855506ab61f8a2ce |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.