Triple
T7966804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 808 State |
E185224
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
MC Tunes
MC Tunes is a British rapper from Manchester best known for his late-1980s and early-1990s collaborations with the electronic music group 808 State.
|
E703438
|
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: MC Tunes | Statement: [808 State, associatedAct, MC Tunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MC Tunes Context triple: [808 State, associatedAct, MC Tunes]
-
A.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
-
B.
MC
MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
-
C.
MC
MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
-
D.
MC
MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
-
E.
Tuneheadz
Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
- 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: MC Tunes Triple: [808 State, associatedAct, MC Tunes]
Generated description
MC Tunes is a British rapper from Manchester best known for his late-1980s and early-1990s collaborations with the electronic music group 808 State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MC Tunes Target entity description: MC Tunes is a British rapper from Manchester best known for his late-1980s and early-1990s collaborations with the electronic music group 808 State.
-
A.
MC
MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
-
B.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
-
C.
MC
MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
-
D.
MC
MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
-
E.
Tuneheadz
Tuneheadz is a music production entity associated with the producer Grand Champ, known for crafting beats and tracks in contemporary genres.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ba3f53c8190a0e9b3de2f1b9645 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0a334e08190ae67a9ca7b51a128 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe43b20148190ba9a4dd00a9f5862 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc3307ebd481908c1ec4b0be270a77 |
completed | March 31, 2026, 8:48 p.m. |
Created at: March 30, 2026, 5:13 p.m.