Triple
T17120512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine McGoohan |
E415451
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Joan Drummond |
E433613
|
NE FINISHED |
How this triple was built (2 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: Joan Drummond | Statement: [Catherine McGoohan, parent, Joan Drummond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Drummond Context triple: [Catherine McGoohan, parent, Joan Drummond]
-
A.
Joan Drummond
chosen
Joan Drummond was the wife of actor Patrick McGoohan, with whom she shared a long marriage and three daughters.
-
B.
Joan Graham
Joan Graham is known as the mother of American actress Heather Graham.
-
C.
Jane Sutherland
Jane Sutherland was a pioneering Australian Impressionist painter known for her landscapes and for advancing the role of women in the Australian art scene of the late 19th and early 20th centuries.
-
D.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
-
E.
Eileen Ramsay
Eileen Ramsay is a British novelist best known for her romantic and historical fiction, often set in Scotland and rural Britain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017936f1bc8190ae675097fcbda90b |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:36 a.m.