Triple
T16813342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Wilberforce |
E408671
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Emily Sargent |
—
|
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: Emily Sargent | Statement: [Samuel Wilberforce, spouse, Emily Sargent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Sargent Context triple: [Samuel Wilberforce, spouse, Emily Sargent]
-
A.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
-
B.
Emily Sargent
chosen
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
-
C.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
-
D.
Emily Burton
Emily Burton was the wife of English poet and playwright Gordon Bottomley, known primarily in relation to his personal life and correspondence.
-
E.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e01fb8819081cf2c08f29448da |
completed | April 18, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.