Triple
T1786606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fergie |
E39406
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Imma Be
"Imma Be" is a hit hip hop and electro-pop single by Fergie, known for its confident lyrics and genre-shifting production.
|
E198361
|
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: Imma Be | Statement: [Fergie, notableWork, Imma Be]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imma Be Context triple: [Fergie, notableWork, Imma Be]
-
A.
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.
-
B.
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.
-
C.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
-
D.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
E.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
- 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: Imma Be Triple: [Fergie, notableWork, Imma Be]
Generated description
"Imma Be" is a hit hip hop and electro-pop single by Fergie, known for its confident lyrics and genre-shifting production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Imma Be Target entity description: "Imma Be" is a hit hip hop and electro-pop single by Fergie, known for its confident lyrics and genre-shifting production.
-
A.
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.
-
B.
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.
-
C.
Beba
Beba is a city in Egypt’s Beni Suef Governorate, known as a local administrative and commercial center in the region.
-
D.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
E.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
- 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_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_69ada9a66da8819085867355c174adce |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adaab3b5008190ba5a07636fe3f2eb |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaeb20390819098bad8951ec00d00 |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 4, 2026, 7:32 p.m.