Triple

T26352010
Position Surface form Disambiguated ID Type / Status
Subject Saint Eustachius E662926 entity
Predicate hasAlternativeName P39 FINISHED
Object Eustachius of Rome
Eustachius of Rome is a legendary early Christian martyr and saint, traditionally depicted as a Roman general who converted to Christianity after a miraculous vision of a crucifix between a stag’s antlers.
E1728011 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: Eustachius of Rome | Statement: [Saint Eustachius, hasAlternativeName, Eustachius of Rome]
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: Eustachius of Rome
Triple: [Saint Eustachius, hasAlternativeName, Eustachius of Rome]
Generated description
Eustachius of Rome is a legendary early Christian martyr and saint, traditionally depicted as a Roman general who converted to Christianity after a miraculous vision of a crucifix between a stag’s antlers.

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_69ee8130fc44819094e5ab1da201cd7b completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60fec2c3c8190b76c15fa8a97f0e6 completed May 2, 2026, 2:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb0a16d08190818653b57496b05d completed May 23, 2026, 2:34 p.m.
NEDg Description generation batch_6a11be5eaa64819093fca394daf91d90 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf1dd27c8190b77577de860ac016 completed May 23, 2026, 2:52 p.m.
Created at: April 26, 2026, 10:46 p.m.