Triple
T1263199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Juan (1926 film) |
E12544
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object |
Bess Meredyth
Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
|
E151519
|
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: Bess Meredyth | Statement: [Don Juan (1926 film), screenplayBy, Bess Meredyth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bess Meredyth Context triple: [Don Juan (1926 film), screenplayBy, Bess Meredyth]
-
A.
Bess
Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
-
B.
Margaret
Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
-
C.
Edith
Edith was the birth name of Edith of Scotland, an Anglo-Saxon–Norman noblewoman who became Queen consort of England as the first wife of King Henry I.
-
D.
Edith
Edith is one of Gru’s adopted daughters in the Despicable Me franchise, recognizable by her pink hat and mischievous, tomboyish personality.
-
E.
Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
- 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: Bess Meredyth Triple: [Don Juan (1926 film), screenplayBy, Bess Meredyth]
Generated description
Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bess Meredyth Target entity description: Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
-
A.
Bess
Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
-
B.
Margaret
Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
-
C.
Edith
Edith was the birth name of Edith of Scotland, an Anglo-Saxon–Norman noblewoman who became Queen consort of England as the first wife of King Henry I.
-
D.
Edith
Edith is one of Gru’s adopted daughters in the Despicable Me franchise, recognizable by her pink hat and mischievous, tomboyish personality.
-
E.
Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc8d6908190a5b2cf1051cc6d5e |
completed | March 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf1c90608190a0fa4d3722897966 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbfc03f20819089a025fc745c9203 |
completed | March 8, 2026, 12:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0282080819087676813c2852a96 |
completed | March 8, 2026, 12:17 a.m. |
Created at: March 1, 2026, 7:50 p.m.