Triple
T6599382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thalía |
E148556
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Arrasando
Arrasando is a popular Latin pop album by Mexican singer Thalía that helped solidify her international success in the early 2000s.
|
E607240
|
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: Arrasando | Statement: [Thalía, notableWork, Arrasando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arrasando Context triple: [Thalía, notableWork, Arrasando]
-
A.
Atacazo
Atacazo is a stratovolcano in the Andes of central Ecuador, located southwest of Quito and known for its prominent peak within the Cordillera Occidental range.
-
B.
L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
-
C.
Ravage
Ravage is a Decepticon spy and attack beast in the Transformers franchise, typically depicted as a stealthy, feline-like robot that specializes in infiltration and reconnaissance.
-
D.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
-
E.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
- 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: Arrasando Triple: [Thalía, notableWork, Arrasando]
Generated description
Arrasando is a popular Latin pop album by Mexican singer Thalía that helped solidify her international success in the early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arrasando Target entity description: Arrasando is a popular Latin pop album by Mexican singer Thalía that helped solidify her international success in the early 2000s.
-
A.
Atacazo
Atacazo is a stratovolcano in the Andes of central Ecuador, located southwest of Quito and known for its prominent peak within the Cordillera Occidental range.
-
B.
L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
-
C.
Ravage
Ravage is a Decepticon spy and attack beast in the Transformers franchise, typically depicted as a stealthy, feline-like robot that specializes in infiltration and reconnaissance.
-
D.
Bucksturm
Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
-
E.
Frenzy
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aeeffdf0819090af7bba918bef84 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43224dc81909dea493a5ee2726e |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e4e9c344819099ad11c21c2e4a6e |
completed | March 27, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e581a4f88190b1f64033a49d1bae |
completed | March 27, 2026, 8:16 p.m. |
Created at: March 27, 2026, 1:56 p.m.