Triple

T17155913
Position Surface form Disambiguated ID Type / Status
Subject Godzilla vs. Biollante E416343 entity
Predicate featuresCharacter P626 FINISHED
Object Major Sho Kuroki
Major Sho Kuroki is a skilled Japanese Self-Defense Force officer and pilot who plays a key military role in combating Godzilla in the film "Godzilla vs. Biollante."
E1860841 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: Major Sho Kuroki | Statement: [Godzilla vs. Biollante, featuresCharacter, Major Sho Kuroki]
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: Major Sho Kuroki
Triple: [Godzilla vs. Biollante, featuresCharacter, Major Sho Kuroki]
Generated description
Major Sho Kuroki is a skilled Japanese Self-Defense Force officer and pilot who plays a key military role in combating Godzilla in the film "Godzilla vs. Biollante."

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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40b402881908b8c01d7b957d0d2 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a829d6b08190af6c336fdd7f38c8 completed June 7, 2026, 5:19 p.m.
NEDg Description generation batch_6a25aca216088190b6e106c9172f638c completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25b1426d488190b7d2a0546ab29f59 completed June 7, 2026, 5:58 p.m.
Created at: April 10, 2026, 5:37 a.m.