Triple
T12351649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorja Smith |
E294501
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
FAMM
FAMM is an independent British record label and management company best known for releasing the music of singer Jorja Smith.
|
E977308
|
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: FAMM | Statement: [Jorja Smith, recordLabel, FAMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAMM Context triple: [Jorja Smith, recordLabel, FAMM]
-
A.
FAM
FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
-
B.
FAM
FAM is the national governing body responsible for overseeing and developing football in Malaysia.
-
C.
FAMa
FAMa is the national military force of Mali responsible for the country’s defense and security operations.
-
D.
FAMS
FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
-
E.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
- 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: FAMM Triple: [Jorja Smith, recordLabel, FAMM]
Generated description
FAMM is an independent British record label and management company best known for releasing the music of singer Jorja Smith.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FAMM Target entity description: FAMM is an independent British record label and management company best known for releasing the music of singer Jorja Smith.
-
A.
FAM
FAM is the acronym commonly used to refer to the Mexican Air Force, the aerial warfare branch of Mexico’s armed forces.
-
B.
FAM
FAM is the national governing body responsible for overseeing and developing football in Malaysia.
-
C.
FAMa
FAMa is the national military force of Mali responsible for the country’s defense and security operations.
-
D.
FAMS
FAMS is the Federal Air Marshal Service, a U.S. law enforcement agency that deploys armed marshals on commercial flights to deter and respond to aviation-related threats.
-
E.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab066108190bba8eca95d3e0a81 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c569a6c8190aecf8a4c627d8893 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d07d3148190a45542c8d43a7077 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.