Triple

T29360994
Position Surface form Disambiguated ID Type / Status
Subject Dan Jurgens E744589 entity
Predicate notableAchievement P477 FINISHED
Object wrote and penciled the Zero Hour: Crisis in Time! event LITERAL 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: wrote and penciled the Zero Hour: Crisis in Time! event | Statement: [Dan Jurgens, notableAchievement, wrote and penciled the Zero Hour: Crisis in Time! event]

Provenance (2 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_69f0a79aee588190b490f19d93c6e52d completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6698892e88190b076bb0cdf159d8b completed May 2, 2026, 9:15 p.m.
Created at: April 28, 2026, 2:17 p.m.