Triple
T15031888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Livingston |
E378372
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Henry Wheaton |
E78025
|
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: Henry Wheaton | Statement: [Catherine Livingston, spouse, Henry Wheaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Wheaton Context triple: [Catherine Livingston, spouse, Henry Wheaton]
-
A.
Henry Wheaton
chosen
Henry Wheaton was a 19th-century American jurist, diplomat, and pioneering scholar of international law whose writings significantly shaped the field.
-
B.
William LeBaron
William LeBaron was an American film producer and studio executive active during the early 20th century, known for overseeing numerous Hollywood productions in the 1920s and 1930s.
-
C.
Henry Bayfield
Henry Bayfield was a British naval officer and hydrographer known for his extensive 19th-century surveys and mapping of the Great Lakes region of North America.
-
D.
Hamilton Wilkes
Hamilton Wilkes was a 19th-century American yachtsman best known for helping establish the prestigious New York Yacht Club.
-
E.
Williams Lea
Williams Lea is a global business process outsourcing and professional services company specializing in document, information, and customer communication management for corporate clients.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0be8bc81909e1f9ed31bfd76fb |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:59 a.m.