Triple
T36815793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Omar Landrón Rivera |
E909730
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
MTO2: New Generation
MTO2: New Generation is a reggaeton studio album by Puerto Rican artist Don Omar that showcases a new wave of collaborators and sounds within the genre.
|
E2199623
|
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: MTO2: New Generation | Statement: [William Omar Landrón Rivera, notableWork, MTO2: New Generation]
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: MTO2: New Generation Triple: [William Omar Landrón Rivera, notableWork, MTO2: New Generation]
Generated description
MTO2: New Generation is a reggaeton studio album by Puerto Rican artist Don Omar that showcases a new wave of collaborators and sounds within the genre.
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_69f76e7dd13c81908c60b05adb49eeb5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d17ba3f4081909a63b91d53be2c76 |
completed | June 25, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_6a3d1e09f30481908e0b2c91a876d17e |
completed | June 25, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3da6b42820819093a377a8b7d05529 |
completed | June 25, 2026, 10:07 p.m. |
Created at: May 3, 2026, 4:13 p.m.