Triple
T11347288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Kirshner |
E268749
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Etti Kirshner
Etti Kirshner is a relative of Canadian actress Mia Kirshner, known for her work in film and television.
|
E925043
|
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: Etti Kirshner | Statement: [Mia Kirshner, hasRelative, Etti Kirshner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etti Kirshner Context triple: [Mia Kirshner, hasRelative, Etti Kirshner]
-
A.
Odette Yustman
Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
-
B.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
-
C.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
D.
Giselle Eisenberg
Giselle Eisenberg is an American child actress best known for her comedic role as Sophia Hughes on the CBS sitcom "Life in Pieces."
-
E.
Greta Kline
Greta Kline is an American indie rock musician and singer-songwriter best known as the frontwoman of the band Frankie Cosmos.
- 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: Etti Kirshner Triple: [Mia Kirshner, hasRelative, Etti Kirshner]
Generated description
Etti Kirshner is a relative of Canadian actress Mia Kirshner, known for her work in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etti Kirshner Target entity description: Etti Kirshner is a relative of Canadian actress Mia Kirshner, known for her work in film and television.
-
A.
Odette Yustman
Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
-
B.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
-
C.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
D.
Giselle Eisenberg
Giselle Eisenberg is an American child actress best known for her comedic role as Sophia Hughes on the CBS sitcom "Life in Pieces."
-
E.
Greta Kline
Greta Kline is an American indie rock musician and singer-songwriter best known as the frontwoman of the band Frankie Cosmos.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b7d91168819096823e59a63ec24d |
completed | April 20, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69e5c289b5ac81909bdaec61a66f6654 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c43f4b4c8190aeae600364d2e4ac |
completed | April 20, 2026, 6:14 a.m. |
Created at: April 8, 2026, 9:33 p.m.