Triple

T33122954
Position Surface form Disambiguated ID Type / Status
Subject Motoko Kusanagi E847649 entity
Predicate affiliation P10 FINISHED
Object Public Security Section 9
Public Security Section 9 is an elite, covert counter-cyberterrorism and intelligence unit in the Ghost in the Shell universe, known for handling high-risk cybercrime and political corruption cases.
 E2037955 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: Public Security Section 9 | Statement: [Motoko Kusanagi, affiliation, Public Security Section 9]
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: Public Security Section 9
Triple: [Motoko Kusanagi, affiliation, Public Security Section 9]
Generated description
Public Security Section 9 is an elite, covert counter-cyberterrorism and intelligence unit in the Ghost in the Shell universe, known for handling high-risk cybercrime and political corruption cases.

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_69f349588f088190b7c9588860f72033 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d71b77288190bf8ee1dfc2c9207f completed May 3, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3516145aa88190920b6c6aec9c4b4b completed June 19, 2026, 10:12 a.m.
NEDg Description generation batch_6a3517f235388190b4f079e7ac29bcb7 completed June 19, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a35186e68f88190834d45a9cc3643e9 completed June 19, 2026, 10:22 a.m.
Created at: May 1, 2026, 1:27 a.m.