Triple
T8428340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Mujeres Ya No Lloran |
E199056
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Cohete
"Cohete" is a song by Shakira from her 2024 studio album "Las Mujeres Ya No Lloran."
|
E731936
|
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: Cohete | Statement: [Las Mujeres Ya No Lloran, hasTrack, Cohete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cohete Context triple: [Las Mujeres Ya No Lloran, hasTrack, Cohete]
-
A.
Redstone rocket
The Redstone rocket was an early American ballistic missile adapted by NASA as a reliable launch vehicle for the first crewed Mercury spaceflights.
-
B.
Rocket
Rocket is a superhero from Milestone Media’s Dakotaverse, best known as Icon’s teenage partner who uses an inertia-manipulating belt to fight crime while navigating complex social issues.
-
C.
Rocket
"Rocket" is a song by the Japanese rock band Ultra Q, known for its energetic style and modern alternative rock sound.
-
D.
Rocket
Rocket was the famous nickname of Maurice Richard, the legendary Canadian ice hockey player renowned for his speed, scoring ability, and iconic status with the Montreal Canadiens.
-
E.
Rocket
Rocket is a brand name used by Oldsmobile for its line of high-performance V8 automobile engines, especially popular in the mid-20th century.
- 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: Cohete Triple: [Las Mujeres Ya No Lloran, hasTrack, Cohete]
Generated description
"Cohete" is a song by Shakira from her 2024 studio album "Las Mujeres Ya No Lloran."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cohete Target entity description: "Cohete" is a song by Shakira from her 2024 studio album "Las Mujeres Ya No Lloran."
-
A.
Redstone rocket
The Redstone rocket was an early American ballistic missile adapted by NASA as a reliable launch vehicle for the first crewed Mercury spaceflights.
-
B.
Rocket
Rocket was the famous nickname of Maurice Richard, the legendary Canadian ice hockey player renowned for his speed, scoring ability, and iconic status with the Montreal Canadiens.
-
C.
Rocket
Rocket is a brand name used by Oldsmobile for its line of high-performance V8 automobile engines, especially popular in the mid-20th century.
-
D.
Rocket
Rocket is a superhero from Milestone Media’s Dakotaverse, best known as Icon’s teenage partner who uses an inertia-manipulating belt to fight crime while navigating complex social issues.
-
E.
Rocket
"Rocket" is a song by the Japanese rock band Ultra Q, known for its energetic style and modern alternative rock sound.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0376b4708190b2d118bcdf1a00fc |
completed | April 2, 2026, 5:49 a.m. |
| NEDg | Description generation | batch_69ce07846da48190aa89b1c185dfcd11 |
completed | April 2, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08a5d2988190a64822214b69a223 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:07 p.m.