Triple
T10848147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MNEK |
E256069
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object |
Sigala
Sigala is a British DJ and record producer known for his upbeat, chart-topping dance-pop tracks and frequent collaborations with prominent vocalists.
|
E889730
|
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: Sigala | Statement: [MNEK, hasCollaboratedWith, Sigala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sigala Context triple: [MNEK, hasCollaboratedWith, Sigala]
-
A.
Alsou
Alsou is a Russian singer and actress who gained international recognition after representing Russia in the Eurovision Song Contest 2000 and later becoming a prominent pop artist in the Russian-speaking world.
-
B.
Bosso
Bosso is the popular nickname of Highlanders F.C., one of Zimbabwe’s oldest and most successful football clubs.
-
C.
Sinama
Sinama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines, Malaysia, and Indonesia.
-
D.
Sandrich
Sandrich is a surname most notably associated with American film director Mark Sandrich, known for his classic Hollywood musicals.
-
E.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
- 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: Sigala Triple: [MNEK, hasCollaboratedWith, Sigala]
Generated description
Sigala is a British DJ and record producer known for his upbeat, chart-topping dance-pop tracks and frequent collaborations with prominent vocalists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sigala Target entity description: Sigala is a British DJ and record producer known for his upbeat, chart-topping dance-pop tracks and frequent collaborations with prominent vocalists.
-
A.
Alsou
Alsou is a Russian singer and actress who gained international recognition after representing Russia in the Eurovision Song Contest 2000 and later becoming a prominent pop artist in the Russian-speaking world.
-
B.
Bosso
Bosso is the popular nickname of Highlanders F.C., one of Zimbabwe’s oldest and most successful football clubs.
-
C.
Sinama
Sinama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines, Malaysia, and Indonesia.
-
D.
Sandrich
Sandrich is a surname most notably associated with American film director Mark Sandrich, known for his classic Hollywood musicals.
-
E.
Mika
Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75114ca988190a0e730131adb2df0 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb170e714819097babb2b850342d2 |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69dec255abb08190bf93573c41aa35e9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7c48c3c81909365b901830f0906 |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:20 p.m.