Triple
T17239332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Violet Asquith |
E418445
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Laura Bonham Carter |
E168942
|
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: Laura Bonham Carter | Statement: [Helen Violet Asquith, child, Laura Bonham Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Bonham Carter Context triple: [Helen Violet Asquith, child, Laura Bonham Carter]
-
A.
Laura Bonham Carter
chosen
Laura Bonham Carter was a British Liberal political figure and member of the prominent Bonham Carter family, known for her marriage to Liberal Party leader Jo Grimond.
-
B.
Susan Moore
Susan Moore is a fictional character in the soap opera "General Hospital," known primarily as the biological mother of Jason Morgan.
-
C.
Susan Moore
Susan Moore is a fictional character portrayed by actress Lauren Hutton in the film "Welcome to L.A."
-
D.
Linda Lay
Linda Lay is an American woman best known as the widow of former Enron CEO Kenneth Lay, who became a public figure during the Enron scandal.
-
E.
Marillyn Hewson
Marillyn Hewson is an American business executive best known for serving as chairman, president, and CEO of Lockheed Martin.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfdc8688190aceb223c19a48781 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f1511c8190b70cb37e713a406a |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.