Triple

T24547773
Position Surface form Disambiguated ID Type / Status
Subject 安倍昭恵 E607272 entity
Predicate employer P7 FINISHED
Object 森永製菓
森永製菓は、キャラメルやチョコレート、ビスケットなどで知られる日本の大手菓子・食品メーカーです。
 E1642799 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: 森永製菓 | Statement: [安倍昭恵, employer, 森永製菓]
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: 森永製菓
Triple: [安倍昭恵, employer, 森永製菓]
Generated description
森永製菓は、キャラメルやチョコレート、ビスケットなどで知られる日本の大手菓子・食品メーカーです。

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_69e2c4c9bf94819082d05da6f5c29907 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8cb6dc081909bf37123d82ed2c9 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff85aee4c819083d9ab49592d4fb1 completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff9f4d2b881908e438b3436480274 completed May 22, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffae6e5bc81908af60c2c5d9eaa23 completed May 22, 2026, 6:42 a.m.
Created at: April 18, 2026, 2:27 a.m.