Triple
T14167924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infinite |
E351127
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Kae Alexander
Kae Alexander is a British actress known for roles in productions such as Game of Thrones, Bad Education, and various film and television dramas.
|
E1096172
|
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: Kae Alexander | Statement: [Infinite, castMember, Kae Alexander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kae Alexander Context triple: [Infinite, castMember, Kae Alexander]
-
A.
Alexandra Wise
Alexandra Wise is known as the spouse of British video game composer David Wise.
-
B.
Tiera Kennedy
Tiera Kennedy is an American country singer-songwriter known for her soulful vocals and rising presence in contemporary country music.
-
C.
Sasha Alexander
Sasha Alexander is an American actress best known for her television roles on series such as NCIS and Rizzoli & Isles.
-
D.
Erika Alexander
Erika Alexander is an American actress best known for her acclaimed television roles on series such as "Living Single" and "The Cosby Show."
-
E.
Alexandra Kyle
Alexandra Kyle is an American actress best known for playing the younger version of Lucy "Tom-Tom" Wyman in the romantic comedy film "13 Going on 30."
- 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: Kae Alexander Triple: [Infinite, castMember, Kae Alexander]
Generated description
Kae Alexander is a British actress known for roles in productions such as Game of Thrones, Bad Education, and various film and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kae Alexander Target entity description: Kae Alexander is a British actress known for roles in productions such as Game of Thrones, Bad Education, and various film and television dramas.
-
A.
Alexandra Wise
Alexandra Wise is known as the spouse of British video game composer David Wise.
-
B.
Tiera Kennedy
Tiera Kennedy is an American country singer-songwriter known for her soulful vocals and rising presence in contemporary country music.
-
C.
Sasha Alexander
Sasha Alexander is an American actress best known for her television roles on series such as NCIS and Rizzoli & Isles.
-
D.
Erika Alexander
Erika Alexander is an American actress best known for her acclaimed television roles on series such as "Living Single" and "The Cosby Show."
-
E.
Alexandra Kyle
Alexandra Kyle is an American actress best known for playing the younger version of Lucy "Tom-Tom" Wyman in the romantic comedy film "13 Going on 30."
- 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_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c27b7088190bd7714391d0536b1 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd50122c2881909590104b64c90c43 |
completed | May 8, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd50892894819084e040cf2e4f205b |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 10, 2026, 1 a.m.