Triple
T1787149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The E.N.D. |
E39417
|
entity |
| Predicate | mainSingle |
P16320
|
FINISHED |
| Object | Imma Be |
E198361
|
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: Imma Be | Statement: [The E.N.D., mainSingle, Imma Be]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imma Be Context triple: [The E.N.D., mainSingle, Imma Be]
-
A.
Imma Be
chosen
"Imma Be" is a hit hip hop and electro-pop single by Fergie, known for its confident lyrics and genre-shifting production.
-
B.
Imma Sumack
Imma Sumack is an alternative name for Yma Sumac, the renowned Peruvian soprano celebrated for her extraordinary vocal range and exoticized 1950s exotica recordings.
-
C.
Geronima Mazzarini
Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
-
D.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
-
E.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650ea238819093a15df6f9d73e2d |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9a4ee9c8190a6cdb5df16a48711 |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.