Triple

T34814710
Position Surface form Disambiguated ID Type / Status
Subject Agnes of Waiblingen E1003599 entity
Predicate child P120 FINISHED
Object Otto of Freising E416966 NE FINISHED

How this triple was built (1 step)

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: Otto of Freising | Statement: [Agnes of Waiblingen, child, Otto of Freising]

Provenance (3 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_69f76db600b88190989abdf08fce3b27 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ab7dfc881909a78153e8a1440b9 completed May 3, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b40f103481909bb4d5559cec83ea completed June 22, 2026, 10:15 p.m.
Created at: May 3, 2026, 3:59 p.m.