Triple
T21081933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Carthage |
E519390
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Acerbas |
—
|
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: Acerbas | Statement: [Queen of Carthage, spouse, Acerbas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acerbas Context triple: [Queen of Carthage, spouse, Acerbas]
-
A.
Acerbas
chosen
Acerbas, also known as Sychaeus, is a wealthy Tyrian priest in classical mythology whose murder leads his wife Dido to flee and ultimately found Carthage.
-
B.
Acerbo
Acerbo is an Italian surname most notably associated with Giacomo Acerbo, a prominent early 20th-century Italian economist and Fascist politician.
-
C.
Abaris
Abaris is the virtuous hero and lover of Alphise in Jean-Philippe Rameau’s opera *Les Boréades*.
-
D.
Vartan
Vartan is a surname most notably associated with French-American actor Michael Vartan.
-
E.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
- 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.