Triple

T37619046
Position Surface form Disambiguated ID Type / Status
Subject White Widow E936011 entity
Predicate associatedOrganization P37 FINISHED
Object Mitsopolis crime family
The Mitsopolis crime family is a fictional organized crime syndicate featured in the Mission: Impossible film series, known for its involvement in international arms dealing and terrorism.
E2272248 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: Mitsopolis crime family | Statement: [White Widow, associatedOrganization, Mitsopolis crime family]
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: Mitsopolis crime family
Triple: [White Widow, associatedOrganization, Mitsopolis crime family]
Generated description
The Mitsopolis crime family is a fictional organized crime syndicate featured in the Mission: Impossible film series, known for its involvement in international arms dealing and terrorism.

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_69f76ed16b748190ad6add183b1be688 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba92fe9e0819082779371e7d4a205 completed May 6, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d6344a208190907f8f1967db7b5f completed June 29, 2026, 2:19 a.m.
NEDg Description generation batch_6a41d751464481909c92507b552fc3d4 completed June 29, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a41d7b0de1481908c3c42f5c5ed2454 completed June 29, 2026, 2:25 a.m.
Created at: May 3, 2026, 4:18 p.m.