Triple
T20110868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Waugh |
E490324
|
entity |
| Predicate | grandmother |
P3524
|
FINISHED |
| Object | Laura Waugh |
—
|
NE NERFINISHED |
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: Laura Waugh | Statement: [Alexander Waugh, grandmother, Laura Waugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Waugh Context triple: [Alexander Waugh, grandmother, Laura Waugh]
-
A.
Laura Waugh
chosen
Laura Waugh was the mother of English journalist and satirist Auberon Waugh and a member of the literary Waugh family.
-
B.
Anna Wharton
Anna Wharton was the wife of American politician and diplomat Frederick William Seward, connecting her to a prominent 19th-century U.S. political family.
-
C.
Pippa Bennett-Warner
Pippa Bennett-Warner is a British actress known for her work in television, film, and theatre, including prominent roles in period dramas and contemporary series.
-
D.
Elizabeth Dauncey
Elizabeth Dauncey was the wife of American screenwriter Waldemar Young, known primarily through her marriage to this prominent Hollywood figure.
-
E.
Elizabeth Dauncey
Elizabeth Dauncey was the daughter of Sir Thomas More and a learned Tudor gentlewoman known for her humanist education and correspondence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e0180c8190adeead0e60a099b0 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.