Triple
T1880945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beginning |
E39851
|
entity |
| Predicate | featuresMember |
P17143
|
FINISHED |
| Object | Apl.de.ap |
E210380
|
NE FINISHED |
How this triple was built (2 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: Apl.de.ap | Statement: [The Beginning, featuresMember, Apl.de.ap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apl.de.ap Context triple: [The Beginning, featuresMember, Apl.de.ap]
-
A.
Apl.de.ap
chosen
Apl.de.ap is a Filipino-American rapper, record producer, and founding member of the Grammy-winning hip hop group The Black Eyed Peas.
-
B.
Nottz
Nottz is an American hip-hop producer known for his soulful, sample-based beats and work with artists such as Kanye West, Busta Rhymes, and Snoop Dogg.
-
C.
Rema
Rema is a Nigerian singer, songwriter, and rapper known for his influential role in modern Afrobeats and hit songs like "Dumebi" and "Calm Down."
-
D.
Robi
Robi is a common Hungarian diminutive form of the male given name Róbert.
-
E.
Doja Cat
Doja Cat is an American rapper, singer, songwriter, and producer known for her genre-blending pop and hip-hop hits, viral online presence, and visually inventive music videos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fb95b48190af5286662c8b9734 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae44f6c8190a5924609863030a4 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.