Triple
T14176892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Woodward |
E351354
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Venetia Barrett
Venetia Barrett is a British actress best known for her marriage to actor Edward Woodward.
|
E1084528
|
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: Venetia Barrett | Statement: [Edward Woodward, spouse, Venetia Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venetia Barrett Context triple: [Edward Woodward, spouse, Venetia Barrett]
-
A.
Isabella Damon
Isabella Damon is one of American actor Matt Damon's daughters, known primarily for being part of his private family life.
-
B.
Verena Tunnicliffe
Verena Tunnicliffe is a Canadian marine biologist renowned for her pioneering research on deep-sea hydrothermal vent ecosystems and biodiversity.
-
C.
Ginevra Fanshawe
Ginevra Fanshawe is a flirtatious, self-centered young woman in Charlotte Brontë’s novel "Villette," known for her beauty, coquetry, and shallow charm.
-
D.
Eve Barrett
Eve Barrett is the charming and resourceful swimsuit designer who serves as the central romantic heroine in the 1949 musical comedy film "Neptune’s Daughter."
-
E.
Arabella Barrett
Arabella Barrett was a 19th-century Englishwoman best known as the sister of the poet Elizabeth Barrett Browning and a member of the literary Barrett family.
- 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: Venetia Barrett Triple: [Edward Woodward, spouse, Venetia Barrett]
Generated description
Venetia Barrett is a British actress best known for her marriage to actor Edward Woodward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venetia Barrett Target entity description: Venetia Barrett is a British actress best known for her marriage to actor Edward Woodward.
-
A.
Isabella Damon
Isabella Damon is one of American actor Matt Damon's daughters, known primarily for being part of his private family life.
-
B.
Verena Tunnicliffe
Verena Tunnicliffe is a Canadian marine biologist renowned for her pioneering research on deep-sea hydrothermal vent ecosystems and biodiversity.
-
C.
Ginevra Fanshawe
Ginevra Fanshawe is a flirtatious, self-centered young woman in Charlotte Brontë’s novel "Villette," known for her beauty, coquetry, and shallow charm.
-
D.
Eve Barrett
Eve Barrett is the charming and resourceful swimsuit designer who serves as the central romantic heroine in the 1949 musical comedy film "Neptune’s Daughter."
-
E.
Arabella Barrett
Arabella Barrett was a 19th-century Englishwoman best known as the sister of the poet Elizabeth Barrett Browning and a member of the literary Barrett family.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c76e8081909994b95b631100e9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf80cdae88190ae987b49218c281d |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd067e73708190adcb4e1c2fbf210d |
completed | May 7, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0c5161dc8190a923c5b00dc5b53a |
completed | May 7, 2026, 10:04 p.m. |
Created at: April 10, 2026, 1:02 a.m.