Triple
T3881318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dido Building Carthage |
E92828
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object | 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: Dido | Statement: [Dido Building Carthage, depicts, Dido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dido Context triple: [Dido Building Carthage, 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.
Cloelia
Cloelia was a Roman woman known primarily as one of the wives of the powerful late Republican dictator Lucius Cornelius Sulla.
-
C.
Lucretia
Lucretia is a dramatic Baroque painting by Artemisia Gentileschi that depicts the Roman noblewoman Lucretia at the moment of her tragic suicide, emphasizing themes of honor, violence, and female virtue.
-
D.
Sibyl
Sibyl is a prophetic figure from ancient Greco-Roman tradition, typically depicted as a woman endowed with divine insight and the power of inspired oracles.
-
E.
Lavinia
Lavinia is a novel by Ursula K. Le Guin that reimagines the life of the minor Aeneid character Lavinia, giving her a rich inner world and narrative voice.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec8d5c1c8190906294177f3ad49e |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512568ba48190a820fcda9b472701 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.