Triple
T21724385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivir mi vida |
E536238
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Jacob Luttrell |
—
|
NE NERFINISHED |
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: Jacob Luttrell | Statement: [Vivir mi vida, lyricist, Jacob Luttrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Luttrell Context triple: [Vivir mi vida, lyricist, Jacob Luttrell]
-
A.
Jacob Luttrell
chosen
Jacob Luttrell is a songwriter and composer known for co-writing the hit song "Vivir mi vida."
-
B.
Marcus Luttrell
Marcus Luttrell is a former U.S. Navy SEAL and combat veteran best known for surviving Operation Red Wings in Afghanistan and recounting his experience in the memoir "Lone Survivor."
-
C.
Morgan Luttrell
Morgan Luttrell is a Republican U.S. Representative from Texas and former Navy SEAL who serves in Congress after a career in military and veterans’ advocacy.
-
D.
Andrew Luttrell
Andrew Luttrell is a musician best known as a member of the garage rock band The Traditional Fools.
-
E.
Chris Kyle
Chris Kyle was a highly decorated U.S. Navy SEAL sniper and author of the memoir "American Sniper," whose life and service became widely known through the bestselling book and its film adaptation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd9722ce881909372fd0f1b15d242 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.