Triple
T21082015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elissar |
E519392
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Queen 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: Queen Dido | Statement: [Elissar, alsoKnownAs, Queen Dido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Dido Context triple: [Elissar, alsoKnownAs, Queen 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 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.
-
C.
Dido
Dido is an English singer-songwriter known for her mellow, melodic pop music and worldwide hits such as "Thank You" and "White Flag."
-
D.
Queen Maeve
Queen Maeve is a powerful, Wonder Woman–like superheroine in the TV series "The Boys," known for her super strength, disillusionment with her corporate-controlled team, and complex moral struggle.
-
E.
Dido Armstrong
Dido Armstrong is an English singer-songwriter best known for her mellow, melodic pop hits such as "Thank You" and "White Flag."
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702db430c81908a1547d8fbe45506 |
completed | April 21, 2026, 4:53 a.m. |
Created at: April 16, 2026, 2:49 p.m.