Triple
T21859113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Edward Codrington |
E539712
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jane Hall |
—
|
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: Jane Hall | Statement: [Sir Edward Codrington, spouse, Jane Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Hall Context triple: [Sir Edward Codrington, spouse, Jane Hall]
-
A.
Jane Hall
chosen
Jane Hall was the wife of British Royal Navy admiral Sir Edward Codrington, noted for her connection to this prominent naval figure of the early 19th century.
-
B.
Jane Hall
Jane Hall was an actress known for appearing in early 20th-century American silent films.
-
C.
Jane Hall
Jane Hall is a British television comedy-drama series starring Daniel Lapaine, centered on the misadventures of a young woman navigating life and work in London.
-
D.
Kent Hall
Kent Hall is an academic building at Columbia University’s Morningside Heights campus, historically associated with housing language and international studies departments.
-
E.
Van Dyck Hall
Van Dyck Hall is an academic building located on the College Avenue Campus of Rutgers University in New Brunswick, New Jersey.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63944d88190b6bd5e6ba4cc8ec1 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.