Triple
T4932727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard E. Grant |
E110734
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Olivia Grant
Olivia Grant is the daughter of British actor and filmmaker Richard E. Grant.
|
E481857
|
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: Olivia Grant | Statement: [Richard E. Grant, child, Olivia Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia Grant Context triple: [Richard E. Grant, child, Olivia Grant]
-
A.
Olivia Washington
Olivia Washington is an American actress known for her work in film and television and as the daughter of acclaimed actor Denzel Washington.
-
B.
Clarissa Brown
Clarissa Brown was the wife of American explorer and soldier Zebulon Pike, known for her connection to his early 19th-century expeditions and military career.
-
C.
Yolanda Griffith
Yolanda Griffith is a retired American professional basketball player and Hall of Famer best known as a dominant WNBA center and Olympic gold medalist.
-
D.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
E.
Magnolia Breeland
Magnolia Breeland is a character from the TV series "Hart of Dixie," known as Lemon Breeland's younger sister and a member of the prominent Breeland family in Bluebell, Alabama.
- 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: Olivia Grant Triple: [Richard E. Grant, child, Olivia Grant]
Generated description
Olivia Grant is the daughter of British actor and filmmaker Richard E. Grant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivia Grant Target entity description: Olivia Grant is the daughter of British actor and filmmaker Richard E. Grant.
-
A.
Olivia Washington
Olivia Washington is an American actress known for her work in film and television and as the daughter of acclaimed actor Denzel Washington.
-
B.
Clarissa Brown
Clarissa Brown was the wife of American explorer and soldier Zebulon Pike, known for her connection to his early 19th-century expeditions and military career.
-
C.
Yolanda Griffith
Yolanda Griffith is a retired American professional basketball player and Hall of Famer best known as a dominant WNBA center and Olympic gold medalist.
-
D.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
E.
Magnolia Breeland
Magnolia Breeland is a character from the TV series "Hart of Dixie," known as Lemon Breeland's younger sister and a member of the prominent Breeland family in Bluebell, Alabama.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70652d988190ba4a493db510952e |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77b41c4c8190b4f714334242bc9b |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be7b9611a881908e83086719406145 |
completed | March 21, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7ce630248190b274547eaa15fe85 |
completed | March 21, 2026, 11:11 a.m. |
Created at: March 20, 2026, 1:30 p.m.