Triple
T2755868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davido |
E61097
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fem
"Fem" is a 2020 Afrobeats hit single by Nigerian singer Davido, widely recognized as a bold, politically charged anthem that became prominent during the #EndSARS protests.
|
E295777
|
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: Fem | Statement: [Davido, notableWork, Fem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fem Context triple: [Davido, notableWork, Fem]
-
A.
She
"She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
-
B.
Her
Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
-
C.
Woman
Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
-
D.
Girl
"Girl" is Pharrell Williams' 2014 funk- and R&B-infused studio album known for its upbeat, soulful sound and the hit single "Happy."
-
E.
HER
HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
- 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: Fem Triple: [Davido, notableWork, Fem]
Generated description
"Fem" is a 2020 Afrobeats hit single by Nigerian singer Davido, widely recognized as a bold, politically charged anthem that became prominent during the #EndSARS protests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fem Target entity description: "Fem" is a 2020 Afrobeats hit single by Nigerian singer Davido, widely recognized as a bold, politically charged anthem that became prominent during the #EndSARS protests.
-
A.
She
"She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
-
B.
Her
Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
-
C.
Woman
Woman is a documentary film by Yann Arthus-Bertrand that presents intimate interviews with women around the world, exploring their experiences, challenges, and perspectives.
-
D.
Girl
"Girl" is Pharrell Williams' 2014 funk- and R&B-infused studio album known for its upbeat, soulful sound and the hit single "Happy."
-
E.
HER
HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb718f4c8190bfc34c6597163ebc |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdd509c8190ac62aa6d50dea3a6 |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbce109f48190be1a31d9300dbee6 |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbda490ac8190bb12598e26b91677 |
completed | March 10, 2026, 6:43 a.m. |
Created at: March 6, 2026, 9:56 p.m.