Triple
T27623442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Stewart |
E696138
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object |
Old Saint Mary’s Churchyard, Philadelphia
Old Saint Mary’s Churchyard in Philadelphia is a historic Catholic burial ground dating back to the colonial era, known for being the resting place of prominent early American figures.
|
E1779768
|
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: Old Saint Mary’s Churchyard, Philadelphia | Statement: [Charles Stewart, burialPlace, Old Saint Mary’s Churchyard, Philadelphia]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Old Saint Mary’s Churchyard, Philadelphia Triple: [Charles Stewart, burialPlace, Old Saint Mary’s Churchyard, Philadelphia]
Generated description
Old Saint Mary’s Churchyard in Philadelphia is a historic Catholic burial ground dating back to the colonial era, known for being the resting place of prominent early American figures.
Provenance (5 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f630de07c48190b18cffe15ac20618 |
completed | May 2, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12d0f557f88190a4a3399950eb5f8b |
completed | May 24, 2026, 10:20 a.m. |
| NEDg | Description generation | batch_6a12d1a671948190add200d3ab2db641 |
completed | May 24, 2026, 10:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12d270e0dc81909c04761a32c1e652 |
completed | May 24, 2026, 10:26 a.m. |
Created at: April 27, 2026, 2:16 p.m.