Triple
T20524310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Tucker |
E503893
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Emanuel Cemetery |
—
|
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: Emanuel Cemetery | Statement: [Sophie Tucker, burialPlace, Emanuel Cemetery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emanuel Cemetery Context triple: [Sophie Tucker, burialPlace, Emanuel Cemetery]
-
A.
Calvary Cemetery
Calvary Cemetery is a historic Roman Catholic burial ground in St. Louis, Missouri, known for its notable interments and expansive, park-like grounds.
-
B.
Calvary Cemetery
Calvary Cemetery is a historic Roman Catholic burial ground in Los Angeles, California, known as the final resting place of many notable local figures.
-
C.
Zion Cemetery
Zion Cemetery is a local burial ground serving the community of Huron Township in Erie County, Ohio.
-
D.
All Faiths Cemetery
chosen
All Faiths Cemetery is a large, historic burial ground in Queens, New York City, known for serving diverse religious communities and lying near several other notable cemeteries.
-
E.
Garden Cemetery
Garden Cemetery is a type of burial ground designed with landscaped gardens and park-like features to create a serene, natural setting for graves and memorials.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:37 a.m.