Triple
T8637089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owl Pharaoh |
E204548
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object |
Gunplay
Gunplay is an American rapper from Miami known for his gritty street-oriented lyrics and affiliation with Rick Ross’s Maybach Music Group.
|
E747337
|
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: Gunplay | Statement: [Owl Pharaoh, hasGuestAppearance, Gunplay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunplay Context triple: [Owl Pharaoh, hasGuestAppearance, Gunplay]
-
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.
Shoot to Kill
Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
-
C.
Shooter
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
-
D.
Shoot 'Em Up
Shoot 'Em Up is a 2007 over-the-top action film known for its stylized gunfights, dark humor, and frenetic pacing.
-
E.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
- 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: Gunplay Triple: [Owl Pharaoh, hasGuestAppearance, Gunplay]
Generated description
Gunplay is an American rapper from Miami known for his gritty street-oriented lyrics and affiliation with Rick Ross’s Maybach Music Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gunplay Target entity description: Gunplay is an American rapper from Miami known for his gritty street-oriented lyrics and affiliation with Rick Ross’s Maybach Music Group.
-
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.
Shoot to Kill
Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
-
C.
Shooter
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
-
D.
Shoot 'Em Up
Shoot 'Em Up is a 2007 over-the-top action film known for its stylized gunfights, dark humor, and frenetic pacing.
-
E.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc476255508190b3e5855232b399a0 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc23d6808190801993e41d93bb9c |
completed | April 2, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69cebcc2d8c08190a7273123fb79b9f7 |
completed | April 2, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebd48bde481909b508d52f4720989 |
completed | April 2, 2026, 7:02 p.m. |
Created at: March 30, 2026, 6:27 p.m.