Triple
T14921442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicki Marron |
E371518
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nicki
Nicki is a given name commonly used as a diminutive form of names like Nicole or Nicholas.
|
E1126542
|
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: Nicki | Statement: [Nicki Marron, givenName, Nicki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicki Context triple: [Nicki Marron, givenName, Nicki]
-
A.
Nicki
Nicki is a professional basketball coach best known for her work in women's basketball, including in the WNBA and NCAA.
-
B.
Nicki Aycox
Nicki Aycox was an American actress and musician best known for her roles in television series like "Supernatural" and films such as "Jeepers Creepers 2."
-
C.
Nikki Jean
Nikki Jean is an American singer-songwriter and pianist best known for her soulful vocals and collaborations with hip-hop artists such as Lupe Fiasco.
-
D.
Prince Nicki
Prince Nicki is a fictional royal character appearing in the animated short film "The Wedding March."
-
E.
Nicki Minaj
Nicki Minaj is a Trinidadian-born American rapper, singer, and songwriter known for her animated flow, alter egos, and major influence on contemporary hip hop and pop music.
- 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: Nicki Triple: [Nicki Marron, givenName, Nicki]
Generated description
Nicki is a given name commonly used as a diminutive form of names like Nicole or Nicholas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicki Target entity description: Nicki is a given name commonly used as a diminutive form of names like Nicole or Nicholas.
-
A.
Nicki
Nicki is a professional basketball coach best known for her work in women's basketball, including in the WNBA and NCAA.
-
B.
Nicki Aycox
Nicki Aycox was an American actress and musician best known for her roles in television series like "Supernatural" and films such as "Jeepers Creepers 2."
-
C.
Nikki Jean
Nikki Jean is an American singer-songwriter and pianist best known for her soulful vocals and collaborations with hip-hop artists such as Lupe Fiasco.
-
D.
Prince Nicki
Prince Nicki is a fictional royal character appearing in the animated short film "The Wedding March."
-
E.
Nicki Minaj
Nicki Minaj is a Trinidadian-born American rapper, singer, and songwriter known for her animated flow, alter egos, and major influence on contemporary hip hop and pop music.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7477270c819094a908a05143619d |
completed | May 8, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7542e5948190866991cabdf97f0e |
completed | May 8, 2026, 11:44 p.m. |
Created at: April 10, 2026, 2:34 a.m.