Triple
T1285222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Mottola |
E27418
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
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.
|
E148556
|
NE FINISHED |
How this triple was built (4 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: Thalía | Statement: [Tommy Mottola, spouse, Thalía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalía Context triple: [Tommy Mottola, spouse, Thalía]
-
A.
Shakira
Shakira is a Colombian singer, songwriter, and performer renowned worldwide for her distinctive voice, Latin pop hits, and dynamic dance style.
-
B.
Luis Miguel
Luis Miguel is a Mexican singer widely regarded as one of the most successful and influential Latin music artists of all time.
-
C.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
D.
Gloria Estefan
Gloria Estefan is a Cuban-American singer, songwriter, and actress widely regarded as the "Queen of Latin Pop" for her pioneering role in bringing Latin music to mainstream international audiences.
-
E.
Thalia
Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thalía Triple: [Tommy Mottola, spouse, Thalía]
Generated description
Thalía is a Mexican singer, actress, and businesswoman widely known as the "Queen of Latin Pop" for her influential music career and telenovela roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thalía Target entity description: Thalía is a Mexican singer, actress, and businesswoman widely known as the "Queen of Latin Pop" for her influential music career and telenovela roles.
-
A.
Shakira
Shakira is a Colombian singer, songwriter, and performer renowned worldwide for her distinctive voice, Latin pop hits, and dynamic dance style.
-
B.
Luis Miguel
Luis Miguel is a Mexican singer widely regarded as one of the most successful and influential Latin music artists of all time.
-
C.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
D.
Gloria Estefan
Gloria Estefan is a Cuban-American singer, songwriter, and actress widely regarded as the "Queen of Latin Pop" for her pioneering role in bringing Latin music to mainstream international audiences.
-
E.
Thalia
Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
- F. None of above. chosen
Provenance (5 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b6dda48190a2e79084adea6ec1 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2ff0d4c8190893901e041f30171 |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb364f2d88190b20ad87001349562 |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb3ce7720819095558536e0a978b8 |
completed | March 7, 2026, 11:25 p.m. |
Created at: March 1, 2026, 7:51 p.m.