Triple
T10418352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Touchett |
E245578
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Daniel Touchett |
E862344
|
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: Daniel Touchett | Statement: [Mrs. Touchett, spouse, Daniel Touchett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Touchett Context triple: [Mrs. Touchett, spouse, Daniel Touchett]
-
A.
Daniel Touchett
chosen
Daniel Touchett is a wealthy American banker living in England and the kindly uncle of Isabel Archer in Henry James’s novel "The Portrait of a Lady."
-
B.
Daniel Lascelles
Daniel Lascelles was an 18th-century British merchant and politician from the prominent Lascelles family associated with Harewood in Yorkshire.
-
C.
Kit Hesketh-Harvey
Kit Hesketh-Harvey was a British musical performer, writer, and comedian best known as one half of the cabaret duo Kit and The Widow and for his work in musical theatre and radio.
-
D.
John La Touche
John La Touche was an American lyricist and librettist known for his sophisticated, often witty contributions to mid-20th-century musical theater and opera.
-
E.
Edward Talbot
Edward Talbot was an Anglican clergyman who became the inaugural Bishop of Southwark in the Church of England.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2938188190a908316d0a0959be |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f8a5b00819080c303bb0fc82f5a |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:11 p.m.