Triple
T7369997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvyn Douglas |
E169971
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Lena Priscilla Shackelford
Lena Priscilla Shackelford was the mother of American actor Melvyn Douglas.
|
E660151
|
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: Lena Priscilla Shackelford | Statement: [Melvyn Douglas, parent, Lena Priscilla Shackelford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lena Priscilla Shackelford Context triple: [Melvyn Douglas, parent, Lena Priscilla Shackelford]
-
A.
Lena Elizabeth Tindall
Lena Elizabeth Tindall is a member of the British royal family, the younger daughter of Zara and Mike Tindall and great-granddaughter of Queen Elizabeth II.
-
B.
Ramona Isabel Wright
Ramona Isabel Wright is the daughter of Tré Cool, the drummer of the American punk rock band Green Day.
-
C.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
D.
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.
-
E.
Lona Williams
Lona Williams is an American screenwriter and producer best known for writing the dark comedy film "Drop Dead Gorgeous."
- 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: Lena Priscilla Shackelford Triple: [Melvyn Douglas, parent, Lena Priscilla Shackelford]
Generated description
Lena Priscilla Shackelford was the mother of American actor Melvyn Douglas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lena Priscilla Shackelford Target entity description: Lena Priscilla Shackelford was the mother of American actor Melvyn Douglas.
-
A.
Lena Elizabeth Tindall
Lena Elizabeth Tindall is a member of the British royal family, the younger daughter of Zara and Mike Tindall and great-granddaughter of Queen Elizabeth II.
-
B.
Ramona Isabel Wright
Ramona Isabel Wright is the daughter of Tré Cool, the drummer of the American punk rock band Green Day.
-
C.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
D.
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.
-
E.
Lona Williams
Lona Williams is an American screenwriter and producer best known for writing the dark comedy film "Drop Dead Gorgeous."
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802c3a4788190850294b054b9c928 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803baa4d48190941174246f533399 |
completed | March 28, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c80457cca08190a392b4efaa50a3f4 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.