Triple
T3881344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dido Building Carthage |
E92828
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Queen 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: Queen Dido | Statement: [Dido Building Carthage, portrays, Queen Dido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Dido Context triple: [Dido Building Carthage, portrays, 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.
Cecilia
Cecilia is a feminine given name of Latin origin, traditionally associated with Saint Cecilia, the patron saint of music.
-
C.
Esthero
Esthero is a Canadian singer-songwriter known for her eclectic blend of trip hop, jazz, and alternative pop.
-
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.
Meñli I Giray
Meñli I Giray was a prominent 15th–16th century Crimean khan who consolidated the Crimean Khanate’s power and forged a crucial alliance with the Ottoman Empire.
- 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_69b51c8983b88190a716987f44487d56 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:20 p.m.