Triple
T5163283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Three Graces |
E116487
|
entity |
| Predicate | depictsCharacter |
P1581
|
FINISHED |
| Object | Thalia |
E102218
|
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: Thalia | Statement: [The Three Graces, depictsCharacter, Thalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalia Context triple: [The Three Graces, depictsCharacter, Thalia]
-
A.
Thalia
chosen
Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
-
B.
Talia
Talia is a feminine given name used in various cultures, often associated with meanings like “dew from heaven” or “to bloom.”
-
C.
Lali
Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
D.
Thalía
Thalía is a Mexican singer, actress, and businesswoman widely known as the "Queen of Latin Pop" for her influential music career and telenovela roles.
-
E.
Ariana
Ariana is the first name of American pop singer and actress Ariana Grande, widely known for her powerful vocals and chart-topping hits.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7927a348819082ad531955cdf30d |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed933abd88190981cb16189685b8f |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.