Triple
T8983466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Fisher |
E214592
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Elizabeth Fisher |
E214592
|
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: Elizabeth Fisher | Statement: [Elizabeth Fisher, name, Elizabeth Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Fisher Context triple: [Elizabeth Fisher, name, Elizabeth Fisher]
-
A.
Elizabeth Fisher
chosen
Elizabeth Fisher was the wife of Mayflower passenger and Plymouth Colony leader Stephen Hopkins, known primarily through her connection to early colonial American history.
-
B.
Emily Willans
Emily Willans was the mother of British Prime Minister Herbert Henry Asquith and a member of the Victorian-era English middle class.
-
C.
Ernestine Bradley
Ernestine Bradley is a German-American scholar and professor emerita of German and comparative literature, known for her academic work and public engagement in the United States.
-
D.
Winifred Gillis
Winifred Gillis is a fictional character from the American television sitcom "The Many Loves of Dobie Gillis."
-
E.
Emily Davies
Emily Davies was a pioneering British feminist and educational reformer who played a key role in opening university education to women in the 19th century.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67eb3cfc8190900a8253cc44621c |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065b8e9fc8190b1eff91f2048e771 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:03 p.m.