Triple
T1107753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Krasinski |
E25524
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Hazel Krasinski
Hazel Krasinski is the daughter of American actors John Krasinski and Emily Blunt.
|
E126625
|
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: Hazel Krasinski | Statement: [John Krasinski, hasChild, Hazel Krasinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hazel Krasinski Context triple: [John Krasinski, hasChild, Hazel Krasinski]
-
A.
Violet Krasinski
Violet Krasinski is the daughter of actors Emily Blunt and John Krasinski.
-
B.
Robin Ruzan
Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
-
C.
Bryce Dallas Howard
Bryce Dallas Howard is an American actress and director known for roles in films such as "The Village," "Jurassic World," and "Rocketman," as well as for directing episodes of "The Mandalorian."
-
D.
Grace Gummer
Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
-
E.
Mamie Gummer
Mamie Gummer is an American actress known for her work in film, television, and theater, and for being the daughter of acclaimed actress Meryl Streep.
- 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: Hazel Krasinski Triple: [John Krasinski, hasChild, Hazel Krasinski]
Generated description
Hazel Krasinski is the daughter of American actors John Krasinski and Emily Blunt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hazel Krasinski Target entity description: Hazel Krasinski is the daughter of American actors John Krasinski and Emily Blunt.
-
A.
Violet Krasinski
Violet Krasinski is the daughter of actors Emily Blunt and John Krasinski.
-
B.
Robin Ruzan
Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
-
C.
Bryce Dallas Howard
Bryce Dallas Howard is an American actress and director known for roles in films such as "The Village," "Jurassic World," and "Rocketman," as well as for directing episodes of "The Mandalorian."
-
D.
Grace Gummer
Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
-
E.
Mamie Gummer
Mamie Gummer is an American actress known for her work in film, television, and theater, and for being the daughter of acclaimed actress Meryl Streep.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4cee1881909ca8af01f22bb8bb |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac4d1d58ac8190b1fc39a28aff8c46 |
completed | March 7, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4d90c3dc819092f6be4888851477 |
completed | March 7, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:43 p.m.