Triple
T6403842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Send It Up |
E144126
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Sacha Maric
Sacha Maric is a writer known for contributing to the song "Send It Up."
|
E589817
|
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: Sacha Maric | Statement: [Send It Up, writer, Sacha Maric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sacha Maric Context triple: [Send It Up, writer, Sacha Maric]
-
A.
Diego Cocca
Diego Cocca is an Argentine football manager and former defender best known for leading Racing Club to the 2014 Argentine Primera División title.
-
B.
Alejandro Schoenhofer
Alejandro Schoenhofer is an architect best known for his work on Mexico City's Basilica of Our Lady of Guadalupe, one of the most important Catholic pilgrimage sites in the world.
-
C.
Pablo Mastroeni
Pablo Mastroeni is a former United States international midfielder and MLS veteran who transitioned into management and now leads Real Salt Lake as their head coach.
-
D.
Darío Grandinetti
Darío Grandinetti is an Argentine actor known for his acclaimed performances in film and television, including a leading role in Pedro Almodóvar’s drama "Talk to Her."
-
E.
Sergio Chiamparino
Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
- 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: Sacha Maric Triple: [Send It Up, writer, Sacha Maric]
Generated description
Sacha Maric is a writer known for contributing to the song "Send It Up."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sacha Maric Target entity description: Sacha Maric is a writer known for contributing to the song "Send It Up."
-
A.
Diego Cocca
Diego Cocca is an Argentine football manager and former defender best known for leading Racing Club to the 2014 Argentine Primera División title.
-
B.
Alejandro Schoenhofer
Alejandro Schoenhofer is an architect best known for his work on Mexico City's Basilica of Our Lady of Guadalupe, one of the most important Catholic pilgrimage sites in the world.
-
C.
Pablo Mastroeni
Pablo Mastroeni is a former United States international midfielder and MLS veteran who transitioned into management and now leads Real Salt Lake as their head coach.
-
D.
Darío Grandinetti
Darío Grandinetti is an Argentine actor known for his acclaimed performances in film and television, including a leading role in Pedro Almodóvar’s drama "Talk to Her."
-
E.
Sergio Chiamparino
Sergio Chiamparino is an Italian politician best known for serving as Mayor of Turin and President of the Piedmont region.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068b0950c819091169aa1a3be0e88 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638aaed0c8190939e751af7c3fa80 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c6395e934c81909bfa10ee1b8e517f |
completed | March 27, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a0a4a108190b474555d8cb1540c |
completed | March 27, 2026, 8:04 a.m. |
Created at: March 22, 2026, 4:35 p.m.