Triple
T1651436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Reagan |
E35700
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Edith Luckett
Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
|
E291681
|
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: Edith Luckett | Statement: [Nancy Reagan, mother, Edith Luckett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edith Luckett Context triple: [Nancy Reagan, mother, Edith Luckett]
-
A.
Marjorie Hood
Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
-
B.
Marjorie Elizabeth Lloyd
Marjorie Elizabeth Lloyd is the daughter of famed silent film comedian and actor Harold Lloyd.
-
C.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
D.
Estelle Winwood
Estelle Winwood was a British-born stage and film actress known for her long career in theater and character roles in Hollywood, often playing eccentric or aristocratic older women.
-
E.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
- 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: Edith Luckett Triple: [Nancy Reagan, mother, Edith Luckett]
Generated description
Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edith Luckett Target entity description: Edith Luckett was an American stage actress best known as the mother of Nancy Reagan, the future First Lady of the United States.
-
A.
Marjorie Hood
Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
-
B.
Marjorie Elizabeth Lloyd
Marjorie Elizabeth Lloyd is the daughter of famed silent film comedian and actor Harold Lloyd.
-
C.
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
D.
Estelle Winwood
Estelle Winwood was a British-born stage and film actress known for her long career in theater and character roles in Hollywood, often playing eccentric or aristocratic older women.
-
E.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a67c0308190a502fd9c6c0769bc |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb65a9680819096e82b69b05cfa92 |
completed | March 10, 2026, 6:12 a.m. |
| NEDg | Description generation | batch_69afb703a5f8819097b71e19db11feaf |
completed | March 10, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7aa131c81908cdfbda9575312f3 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 4, 2026, 7:29 p.m.