Triple
T14104351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Now or Never |
E339465
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Phonte Coleman
Phonte Coleman is an American rapper, singer, and songwriter best known as a member of the hip hop group Little Brother and the music duo The Foreign Exchange.
|
E1080758
|
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: Phonte Coleman | Statement: [Now or Never, writer, Phonte Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phonte Coleman Context triple: [Now or Never, writer, Phonte Coleman]
-
A.
Jeff Cole
Jeff Cole is the undercover police officer protagonist in the crime thriller film "In Too Deep," who infiltrates a powerful drug syndicate.
-
B.
SY Coleman
SY Coleman is a company that employed American actor and director Jay Garner.
-
C.
Troy Bell
Troy Bell is a former American basketball player best known as a high-scoring guard and two-time Big East Player of the Year at Boston College who later played in the NBA and overseas.
-
D.
Travis Porter
Travis Porter is an American hip hop group from Atlanta known for their party anthems and influence on the early 2010s club and mixtape scene.
-
E.
Lyriq Bent
Lyriq Bent is a Canadian actor known for his roles in the Saw film series, the television miniseries Book of Negroes, and various film and TV dramas.
- 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: Phonte Coleman Triple: [Now or Never, writer, Phonte Coleman]
Generated description
Phonte Coleman is an American rapper, singer, and songwriter best known as a member of the hip hop group Little Brother and the music duo The Foreign Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phonte Coleman Target entity description: Phonte Coleman is an American rapper, singer, and songwriter best known as a member of the hip hop group Little Brother and the music duo The Foreign Exchange.
-
A.
Jeff Cole
Jeff Cole is the undercover police officer protagonist in the crime thriller film "In Too Deep," who infiltrates a powerful drug syndicate.
-
B.
SY Coleman
SY Coleman is a company that employed American actor and director Jay Garner.
-
C.
Troy Bell
Troy Bell is a former American basketball player best known as a high-scoring guard and two-time Big East Player of the Year at Boston College who later played in the NBA and overseas.
-
D.
Travis Porter
Travis Porter is an American hip hop group from Atlanta known for their party anthems and influence on the early 2010s club and mixtape scene.
-
E.
Lyriq Bent
Lyriq Bent is a Canadian actor known for his roles in the Saw film series, the television miniseries Book of Negroes, and various film and TV dramas.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b2ade08190a56e9ecf659f83b9 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd854824c8190b71001a8c67ad229 |
completed | May 7, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd91c3aac8190a569c6818cf1dabd |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 9, 2026, 10:22 p.m.