Triple
T1041420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil' Kim |
E22476
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
Trina
Trina is an American rapper known for her sexually explicit lyrics, confident persona, and influential role in Southern hip hop, particularly Miami’s rap scene.
|
E124262
|
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: Trina | Statement: [Lil' Kim, influenced, Trina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trina Context triple: [Lil' Kim, influenced, Trina]
-
A.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
B.
Dina
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
C.
Reva
Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
-
D.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
-
E.
Tracy di Vicenzo
Tracy di Vicenzo is a central James Bond heroine best known as the woman James Bond marries in the film "On Her Majesty's Secret Service."
- 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: Trina Triple: [Lil' Kim, influenced, Trina]
Generated description
Trina is an American rapper known for her sexually explicit lyrics, confident persona, and influential role in Southern hip hop, particularly Miami’s rap scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trina Target entity description: Trina is an American rapper known for her sexually explicit lyrics, confident persona, and influential role in Southern hip hop, particularly Miami’s rap scene.
-
A.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
B.
Dina
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
C.
Reva
Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
-
D.
Kimberly
Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
-
E.
Tracy di Vicenzo
Tracy di Vicenzo is a central James Bond heroine best known as the woman James Bond marries in the film "On Her Majesty's Secret Service."
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82f6c14819080277443ea4722dd |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac429ad45481908641fcaf72f7d1b9 |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac4365965881909ff2cdf8eda07f91 |
completed | March 7, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43d1cd1c8190852f8811703ebd5f |
completed | March 7, 2026, 3:27 p.m. |
Created at: March 1, 2026, 7:42 p.m.