Triple
T9328989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Holmes |
E224467
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Mary Holmes
Mary Holmes is the spouse of Peter Holmes, known primarily in relation to him.
|
E791972
|
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: Mary Holmes | Statement: [Peter Holmes, hasSpouse, Mary Holmes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Holmes Context triple: [Peter Holmes, hasSpouse, Mary Holmes]
-
A.
Emily Holmes
Emily Holmes is a Canadian actress known for her roles in film and television, including a supporting part in the thriller "Snakes on a Plane."
-
B.
Eudoria Holmes
Eudoria Holmes is the fiercely independent and unconventional mother of Enola Holmes in the "Enola Holmes" mystery series, known for her secretive activism and radical beliefs.
-
C.
Amy Prentiss
Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
-
D.
Taylor Holmes
Taylor Holmes was an American stage and film actor active in the early to mid-20th century, known for his character roles in both silent and sound cinema.
-
E.
Helen Hyslop
Helen Hyslop was the wife of British scientist and environmentalist James Lovelock, known for supporting him during the development of his influential scientific work.
- 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: Mary Holmes Triple: [Peter Holmes, hasSpouse, Mary Holmes]
Generated description
Mary Holmes is the spouse of Peter Holmes, known primarily in relation to him.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Holmes Target entity description: Mary Holmes is the spouse of Peter Holmes, known primarily in relation to him.
-
A.
Emily Holmes
Emily Holmes is a Canadian actress known for her roles in film and television, including a supporting part in the thriller "Snakes on a Plane."
-
B.
Eudoria Holmes
Eudoria Holmes is the fiercely independent and unconventional mother of Enola Holmes in the "Enola Holmes" mystery series, known for her secretive activism and radical beliefs.
-
C.
Amy Prentiss
Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
-
D.
Taylor Holmes
Taylor Holmes was an American stage and film actor active in the early to mid-20th century, known for his character roles in both silent and sound cinema.
-
E.
Helen Hyslop
Helen Hyslop was the wife of British scientist and environmentalist James Lovelock, known for supporting him during the development of his influential scientific work.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ab90ac8190b5c73f08dd091731 |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7f345d88190912b0f10e7ab68be |
completed | April 4, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69d0c93366c481909eca1ae2272433c9 |
completed | April 4, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0c9a9e6508190815a9988bd38da9b |
completed | April 4, 2026, 8:19 a.m. |
Created at: March 30, 2026, 7:39 p.m.