Triple
T619950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Niblo |
E14488
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Enid Bennett
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
|
E210971
|
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: Enid Bennett | Statement: [Fred Niblo, spouse, Enid Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enid Bennett Context triple: [Fred Niblo, spouse, Enid Bennett]
-
A.
Frances Penney
Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
-
B.
Aileen Britton
Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
-
C.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
D.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
E.
Ellen Yates
Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
- 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: Enid Bennett Triple: [Fred Niblo, spouse, Enid Bennett]
Generated description
Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enid Bennett Target entity description: Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
-
A.
Frances Penney
Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
-
B.
Aileen Britton
Aileen Britton was an Australian actress known for her work in film, television, and theatre during the mid-20th century.
-
C.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
D.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
E.
Ellen Yates
Ellen Yates was the mother of Sir Robert Peel, the influential 19th-century British Prime Minister and founder of the modern police force.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e270b448190beb677670443b5b6 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaaaad508190992c7b50e9397450 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb1ee4648190afd50782988b115c |
completed | March 8, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adeb9f28dc8190a0493a72153c60e6 |
completed | March 8, 2026, 9:35 p.m. |
Created at: March 1, 2026, 7:35 p.m.