Triple
T21845010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Infamous |
E539351
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Matt Life
Matt Life is a hip-hop music producer known for his work with the Queensbridge rap duo The Infamous Mobb.
|
E1504982
|
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: Matt Life | Statement: [The Infamous, producer, Matt Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Life Context triple: [The Infamous, producer, Matt Life]
-
A.
Don Life
Don Life is a track from Big Sean’s album "Detroit 2," known for its energetic production and motivational, success-focused lyrics.
-
B.
Matt
Matt is the idealistic young romantic lead in the long-running musical "The Fantasticks," whose journey explores love, disillusionment, and maturity.
-
C.
Matt
Matt is the given name of Matt Eberflus, an American football coach best known as the head coach of the Chicago Bears in the NFL.
-
D.
Matt
Matt is a fictional character from the dark comedy film "The Opposite of Sex," which follows the chaotic fallout of a manipulative teenager’s impact on the lives of those around her.
-
E.
Matt
Matt is the given name of Canadian-American actor Matt Frewer, best known for portraying the 1980s television character Max Headroom.
- 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: Matt Life Triple: [The Infamous, producer, Matt Life]
Generated description
Matt Life is a hip-hop music producer known for his work with the Queensbridge rap duo The Infamous Mobb.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Life Target entity description: Matt Life is a hip-hop music producer known for his work with the Queensbridge rap duo The Infamous Mobb.
-
A.
Don Life
Don Life is a track from Big Sean’s album "Detroit 2," known for its energetic production and motivational, success-focused lyrics.
-
B.
Matt
Matt is a fictional character from the dark comedy film "The Opposite of Sex," which follows the chaotic fallout of a manipulative teenager’s impact on the lives of those around her.
-
C.
Matt
Matt is the given name of Matt Eberflus, an American football coach best known as the head coach of the Chicago Bears in the NFL.
-
D.
Matt
Matt is the given name of Canadian-American actor Matt Frewer, best known for portraying the 1980s television character Max Headroom.
-
E.
Matt
Matt is a common masculine given name, often short for Matthew, used in many English-speaking countries.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5398fc81909f025bcccd0f80cb |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bcabfdc819083ffb78747a50a82 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4ceefdd88190aa3790bfd9df882b |
completed | May 17, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4da50c988190a41a4fcb83ae02a6 |
completed | May 17, 2026, 11:22 p.m. |
Created at: April 16, 2026, 6:55 p.m.