Triple
T14195820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talia |
E351832
|
entity |
| Predicate | relatedName |
P3889
|
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: [Talia, relatedName, Thalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalia Context triple: [Talia, relatedName, 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.
Zahara
Zahara is the adopted daughter of actors Angelina Jolie and Brad Pitt, known for her appearances with her family in the public eye.
-
E.
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.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194b32d88190aa74eef576152db3 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.