Triple

T26033563
Position Surface form Disambiguated ID Type / Status
Subject Denmark Vesey's conspiracy E647494 entity
Predicate significantParticipant P6467 FINISHED
Object Peter Poyas
Peter Poyas was a free Black carpenter in Charleston who became a key organizer and leader in the planned 1822 Denmark Vesey slave revolt.
E1707096 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: Peter Poyas | Statement: [Denmark Vesey's conspiracy, significantParticipant, Peter Poyas]
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: Peter Poyas
Triple: [Denmark Vesey's conspiracy, significantParticipant, Peter Poyas]
Generated description
Peter Poyas was a free Black carpenter in Charleston who became a key organizer and leader in the planned 1822 Denmark Vesey slave revolt.

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_69e77e8b60e88190a3b26c4f0032a2c2 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6061b1b5081908dc5e2ac3ac58619 completed May 2, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111b1403b08190aad1dc313d83715d completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111cd3eef88190b50aff70eaa835d5 completed May 23, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a111d3dd98c81908f0f3850008abce2 completed May 23, 2026, 3:21 a.m.
Created at: April 22, 2026, 9:06 a.m.