Triple
T9794270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Baron |
E237679
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | King Dido |
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: King Dido | Statement: [Alexander Baron, notableWork, King Dido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Dido Context triple: [Alexander Baron, notableWork, King 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.
Ossian
Ossian is a small city in northeastern Iowa, United States, known for its rural community character within Winneshiek County.
-
D.
Ossian
Ossian is the legendary 3rd-century Gaelic bard whose purported epic poems, popularized in the 18th century by James Macpherson, profoundly shaped European Romantic literature.
-
E.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43bccfc81909b940b180fe26626 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:28 p.m.