Triple
T22144969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Heinecken |
E547261
|
entity |
| Predicate | placeOfBurial |
P196
|
FINISHED |
| Object | Glenwood Cemetery |
—
|
NE NERFINISHED |
How this triple was built (3 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: Glenwood Cemetery | Statement: [Christian Heinecken, placeOfBurial, Glenwood Cemetery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenwood Cemetery Context triple: [Christian Heinecken, placeOfBurial, Glenwood Cemetery]
-
A.
Glenwood Cemetery
Glenwood Cemetery is a historic burial ground in Houston, Texas, known for its landscaped grounds and as the resting place of many prominent local figures.
-
B.
Greenwood Cemetery
Greenwood Cemetery is a historic burial ground in Greenwood, Mississippi, known for serving as a resting place for many of the area's early residents and notable local figures.
-
C.
Grandview Cemetery
Grandview Cemetery is a historic burial ground in Johnstown, Pennsylvania, known for memorializing many victims of the 1889 Johnstown Flood.
-
D.
Pine Hills Cemetery
Pine Hills Cemetery is a historic burial ground in Toronto, Ontario, known for its expansive landscaped grounds and role as a major resting place for the city’s residents.
-
E.
Woodland Cemetery
Woodland Cemetery is a historic burial ground located in Toledo, Ohio, known for serving as a resting place for many of the city's notable residents.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glenwood Cemetery Target entity description: Glenwood Cemetery is a historic burial ground in Washington, D.C., known for its 19th-century origins and notable interments.
-
A.
Glenwood Cemetery
Glenwood Cemetery is a historic burial ground in Houston, Texas, known for its landscaped grounds and as the resting place of many prominent local figures.
-
B.
Greenwood Cemetery
Greenwood Cemetery is a historic burial ground in Greenwood, Mississippi, known for serving as a resting place for many of the area's early residents and notable local figures.
-
C.
Grandview Cemetery
Grandview Cemetery is a historic burial ground in Johnstown, Pennsylvania, known for memorializing many victims of the 1889 Johnstown Flood.
-
D.
Pine Hills Cemetery
Pine Hills Cemetery is a historic burial ground in Toronto, Ontario, known for its expansive landscaped grounds and role as a major resting place for the city’s residents.
-
E.
Woodland Cemetery
Woodland Cemetery is a historic burial ground located in Toledo, Ohio, known for serving as a resting place for many of the city's notable residents.
- F. None of above. chosen
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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129efd52c8190ab0acff5bbfc0d77 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.