Triple
T30922009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupita D’Alessio |
E787749
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
La Leona Dormida
La Leona Dormida is the famous stage nickname of Mexican singer and actress Lupita D’Alessio, known for her powerful voice and dramatic performances in Latin pop and ballads.
|
E1939181
|
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: La Leona Dormida | Statement: [Lupita D’Alessio, nickname, La Leona Dormida]
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: La Leona Dormida Triple: [Lupita D’Alessio, nickname, La Leona Dormida]
Generated description
La Leona Dormida is the famous stage nickname of Mexican singer and actress Lupita D’Alessio, known for her powerful voice and dramatic performances in Latin pop and ballads.
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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692b64540819090b6fad5663d3871 |
completed | May 3, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28e469919881909562570d94b67f5d |
completed | June 10, 2026, 4:13 a.m. |
| NEDg | Description generation | batch_6a28e8a299908190a16f145e901f8edd |
completed | June 10, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28e91bbbcc8190bf420aaed9cf4b8a |
completed | June 10, 2026, 4:33 a.m. |
Created at: April 29, 2026, 8:51 p.m.