Triple

T28193394
Position Surface form Disambiguated ID Type / Status
Subject Per Mertesacker E716374 entity
Predicate employer P7 FINISHED
Object Arsenal FC E15898 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: Arsenal FC | Statement: [Per Mertesacker, employer, Arsenal FC]

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_69efd6b612f48190a72012b520afbd10 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f642cf92d88190bdb919fc9fb18c2b completed May 2, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac27a48c819082020f586c5704c8 completed May 31, 2026, 9:46 p.m.
Created at: April 27, 2026, 10:26 p.m.