Triple
T4553840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MC Lyte |
E120433
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Lana Michele Moorer
Lana Michele Moorer is an American rapper, DJ, and actress best known by her stage name MC Lyte, a pioneering figure in hip hop and one of the first prominent female MCs.
|
E452153
|
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: Lana Michele Moorer | Statement: [MC Lyte, birthName, Lana Michele Moorer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lana Michele Moorer Context triple: [MC Lyte, birthName, Lana Michele Moorer]
-
A.
Lili-Rose Womack
Lili-Rose Womack is the daughter of English actress and singer Samantha Womack.
-
B.
Lorrie Morgan
Lorrie Morgan is an American country music singer known for her emotive vocal style and a string of hits since the late 1980s.
-
C.
Samantha Womack
Samantha Womack is a British actress and singer best known for her long-running role as Ronnie Mitchell in the BBC soap opera EastEnders.
-
D.
Tanya Tucker
Tanya Tucker is an American country music singer known for her husky voice, rebellious image, and a string of hits she began releasing as a teenager in the early 1970s.
-
E.
Lori Anne Allison
Lori Anne Allison is an American makeup artist best known for being Johnny Depp’s first wife in the 1980s.
- 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: Lana Michele Moorer Triple: [MC Lyte, birthName, Lana Michele Moorer]
Generated description
Lana Michele Moorer is an American rapper, DJ, and actress best known by her stage name MC Lyte, a pioneering figure in hip hop and one of the first prominent female MCs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lana Michele Moorer Target entity description: Lana Michele Moorer is an American rapper, DJ, and actress best known by her stage name MC Lyte, a pioneering figure in hip hop and one of the first prominent female MCs.
-
A.
Lili-Rose Womack
Lili-Rose Womack is the daughter of English actress and singer Samantha Womack.
-
B.
Lorrie Morgan
Lorrie Morgan is an American country music singer known for her emotive vocal style and a string of hits since the late 1980s.
-
C.
Samantha Womack
Samantha Womack is a British actress and singer best known for her long-running role as Ronnie Mitchell in the BBC soap opera EastEnders.
-
D.
Tanya Tucker
Tanya Tucker is an American country music singer known for her husky voice, rebellious image, and a string of hits she began releasing as a teenager in the early 1970s.
-
E.
Lori Anne Allison
Lori Anne Allison is an American makeup artist best known for being Johnny Depp’s first wife in the 1980s.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58127ed08190a04962a43afb888b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc575e3388190ac95b9e0537fb701 |
completed | March 20, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69bdc62597f08190be0225e16967401f |
completed | March 20, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdc686caa4819093d3ebb9ad47846d |
completed | March 20, 2026, 10:13 p.m. |
Created at: March 20, 2026, 1:09 p.m.