Triple
T14159087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Cahill |
E350889
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nikki Uberti
Nikki Uberti is a makeup artist, model, and former fashion industry figure known for her work in editorial and commercial projects.
|
E1087019
|
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: Nikki Uberti | Statement: [Eddie Cahill, spouse, Nikki Uberti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikki Uberti Context triple: [Eddie Cahill, spouse, Nikki Uberti]
-
A.
Nikki Faber
Nikki Faber is a fictional character from the television sitcom "Spin City," known as one of the quirky staffers working in the New York City mayor's office.
-
B.
Nikki Budzinski
Nikki Budzinski is an American Democratic politician and U.S. Representative from Illinois who previously worked as a labor and policy advisor.
-
C.
Nicole Grimaudo
Nicole Grimaudo is an Italian actress known for her work in film, television, and theater, including prominent roles in contemporary Italian cinema.
-
D.
Nicole Trunfio
Nicole Trunfio is an Australian model and fashion designer known for her work with major international brands and appearances on reality modeling competitions.
-
E.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
- 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: Nikki Uberti Triple: [Eddie Cahill, spouse, Nikki Uberti]
Generated description
Nikki Uberti is a makeup artist, model, and former fashion industry figure known for her work in editorial and commercial projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikki Uberti Target entity description: Nikki Uberti is a makeup artist, model, and former fashion industry figure known for her work in editorial and commercial projects.
-
A.
Nikki Faber
Nikki Faber is a fictional character from the television sitcom "Spin City," known as one of the quirky staffers working in the New York City mayor's office.
-
B.
Nikki Budzinski
Nikki Budzinski is an American Democratic politician and U.S. Representative from Illinois who previously worked as a labor and policy advisor.
-
C.
Nicole Grimaudo
Nicole Grimaudo is an Italian actress known for her work in film, television, and theater, including prominent roles in contemporary Italian cinema.
-
D.
Nicole Trunfio
Nicole Trunfio is an Australian model and fashion designer known for her work with major international brands and appearances on reality modeling competitions.
-
E.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2804956c81909409fba998a87866 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2a8d7b0c81908c80de21f7922f0a |
completed | May 8, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b0c9b188190a7f096429aa92419 |
completed | May 8, 2026, 12:15 a.m. |
Created at: April 10, 2026, 12:58 a.m.