Triple
T19165817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carly Chaikin |
E469177
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chaikin
Chaikin is a surname most notably associated with American actress Carly Chaikin, known for her role in the television series "Mr. Robot."
|
E1361453
|
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: Chaikin | Statement: [Carly Chaikin, familyName, Chaikin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaikin Context triple: [Carly Chaikin, familyName, Chaikin]
-
A.
Chaiken
Chaiken is a surname most notably associated with Ilene Chaiken, an American television producer, writer, and creator of the groundbreaking series "The L Word."
-
B.
Levitch
Levitch is the family surname of the famed American comedian, actor, and filmmaker Jerry Lewis.
-
C.
Chin-kim
Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
-
D.
Biletnikoff
Biletnikoff is a surname most famously associated with Hall of Fame American football wide receiver Fred Biletnikoff.
-
E.
Chaek
Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
- 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: Chaikin Triple: [Carly Chaikin, familyName, Chaikin]
Generated description
Chaikin is a surname most notably associated with American actress Carly Chaikin, known for her role in the television series "Mr. Robot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaikin Target entity description: Chaikin is a surname most notably associated with American actress Carly Chaikin, known for her role in the television series "Mr. Robot."
-
A.
Chaiken
Chaiken is a surname most notably associated with Ilene Chaiken, an American television producer, writer, and creator of the groundbreaking series "The L Word."
-
B.
Levitch
Levitch is the family surname of the famed American comedian, actor, and filmmaker Jerry Lewis.
-
C.
Chin-kim
Chin-kim, also known as Zhenjin, was a Yuan dynasty imperial prince and the designated heir of Kublai Khan in 13th-century Mongolia-China.
-
D.
Biletnikoff
Biletnikoff is a surname most famously associated with Hall of Fame American football wide receiver Fred Biletnikoff.
-
E.
Chaek
Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15ee064819087f9fd822236298f |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f25ef2208190842d2b29bee2c8ce |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f3864b848190bcc76953e1a261f3 |
completed | May 15, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4199a588190943d3d45536a228c |
completed | May 15, 2026, 10:23 a.m. |
Created at: April 10, 2026, 12:06 p.m.