Triple

T26504710
Position Surface form Disambiguated ID Type / Status
Subject The Prisoner of Chillon E669513 entity
Predicate mainCharacter P1183 FINISHED
Object François Bonivard
François Bonivard was a 16th-century Genevan monk, scholar, and patriot whose imprisonment in Chillon Castle inspired Lord Byron’s poem "The Prisoner of Chillon."
E1787640 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: François Bonivard | Statement: [The Prisoner of Chillon, mainCharacter, François Bonivard]
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: François Bonivard
Triple: [The Prisoner of Chillon, mainCharacter, François Bonivard]
Generated description
François Bonivard was a 16th-century Genevan monk, scholar, and patriot whose imprisonment in Chillon Castle inspired Lord Byron’s poem "The Prisoner of Chillon."

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_69eeb319ec70819090834c2591cf5f1e completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6138cc2d48190b30f14187b853bf3 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e42b7bf88190bfb6e7179099d259 completed May 24, 2026, 11:42 a.m.
NEDg Description generation batch_6a12e4bc42e081909864bb2839e08143 completed May 24, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a12e551ec288190b818e25bf2e62f45 completed May 24, 2026, 11:47 a.m.
Created at: April 27, 2026, 1:15 a.m.