Triple
T17684700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Gould |
E440855
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Georgia Gould
Georgia Gould is a British Labour Party politician who has served as the leader of Camden Council in London.
|
E1282876
|
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: Georgia Gould | Statement: [Philip Gould, child, Georgia Gould]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgia Gould Context triple: [Philip Gould, child, Georgia Gould]
-
A.
Mary Birdsong
Mary Birdsong is an American actress and comedian known for her character work in film, television, and voice acting.
-
B.
Dorothy McEwen
Dorothy McEwen was an American businesswoman and philanthropist known for co-founding Digital Research with her then-husband Gary Kildall and later supporting numerous cultural and community initiatives in California.
-
C.
Gladys Murray
Gladys Murray was the wife of Sir Malcolm Murray, a British baronet and military officer.
-
D.
Georgia Welch
Georgia Welch is best known as the wife of former U.S. Attorney General and prominent civil rights advocate Ramsey Clark.
-
E.
Madeline Foy
Madeline Foy was a member of the Foy family of early 20th-century American entertainers, known for their work in vaudeville and film.
- 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: Georgia Gould Triple: [Philip Gould, child, Georgia Gould]
Generated description
Georgia Gould is a British Labour Party politician who has served as the leader of Camden Council in London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Georgia Gould Target entity description: Georgia Gould is a British Labour Party politician who has served as the leader of Camden Council in London.
-
A.
Mary Birdsong
Mary Birdsong is an American actress and comedian known for her character work in film, television, and voice acting.
-
B.
Dorothy McEwen
Dorothy McEwen was an American businesswoman and philanthropist known for co-founding Digital Research with her then-husband Gary Kildall and later supporting numerous cultural and community initiatives in California.
-
C.
Gladys Murray
Gladys Murray was the wife of Sir Malcolm Murray, a British baronet and military officer.
-
D.
Georgia Welch
Georgia Welch is best known as the wife of former U.S. Attorney General and prominent civil rights advocate Ramsey Clark.
-
E.
Madeline Foy
Madeline Foy was a member of the Foy family of early 20th-century American entertainers, known for their work in vaudeville and film.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704710488190826aaf0bdd4b2088 |
completed | April 19, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02232c47f481909b0ac8f278b0144b |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a0224d356748190aac87f7bc6a12ee7 |
completed | May 11, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02258d6db881908a80b23b5d44cf98 |
completed | May 11, 2026, 6:53 p.m. |
Created at: April 10, 2026, 10:02 a.m.