Triple
T6455491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Carter II |
E141983
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Shooter
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
|
E594634
|
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: Shooter | Statement: [Tha Carter II, hasPart, Shooter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shooter Context triple: [Tha Carter II, hasPart, Shooter]
-
A.
Killshot
Killshot is a crime novel by Elmore Leonard that follows a married couple targeted by a pair of hitmen, blending dark humor with tense, character-driven suspense.
-
B.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
-
C.
Shoot 'Em Up
Shoot 'Em Up is a 2007 over-the-top action film known for its stylized gunfights, dark humor, and frenetic pacing.
-
D.
Shooter (2007 film)
Shooter is a 2007 American action thriller film, directed by Antoine Fuqua and starring Mark Wahlberg as a framed ex-Marine sniper who uncovers a high-level conspiracy.
-
E.
Sniper School
Sniper School is a specialized U.S. Army training program that teaches soldiers advanced marksmanship, fieldcraft, and long-range precision engagement skills.
- 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: Shooter Triple: [Tha Carter II, hasPart, Shooter]
Generated description
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shooter Target entity description: "Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
-
A.
Killshot
Killshot is a crime novel by Elmore Leonard that follows a married couple targeted by a pair of hitmen, blending dark humor with tense, character-driven suspense.
-
B.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
-
C.
Shoot 'Em Up
Shoot 'Em Up is a 2007 over-the-top action film known for its stylized gunfights, dark humor, and frenetic pacing.
-
D.
Shooter (2007 film)
Shooter is a 2007 American action thriller film, directed by Antoine Fuqua and starring Mark Wahlberg as a framed ex-Marine sniper who uncovers a high-level conspiracy.
-
E.
Sniper School
Sniper School is a specialized U.S. Army training program that teaches soldiers advanced marksmanship, fieldcraft, and long-range precision engagement skills.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d4d588819090e8a56c46c0bfe9 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd982208190bbf5f00a85f7098d |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64d8fe71881908417dc1d3f242bd5 |
completed | March 27, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64e5cd1b88190abcdc8af02991d1d |
completed | March 27, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:48 p.m.