Triple

T29147852
Position Surface form Disambiguated ID Type / Status
Subject Francis Fratelli E738820 entity
Predicate memberOf P10 FINISHED
Object Fratelli crime family
The Fratelli crime family is a fictional Italian-American criminal organization featured as the main group of antagonists in the 1985 adventure film "The Goonies."
E1858945 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: Fratelli crime family | Statement: [Francis Fratelli, memberOf, Fratelli 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: Fratelli crime family
Triple: [Francis Fratelli, memberOf, Fratelli crime family]
Generated description
The Fratelli crime family is a fictional Italian-American criminal organization featured as the main group of antagonists in the 1985 adventure film "The Goonies."

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_69f07cb46f148190874eb8576a447567 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662a29b3881909957a7e3b986653c completed May 2, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25890dd63c8190aa6abcaccd34e81f completed June 7, 2026, 3:06 p.m.
NEDg Description generation batch_6a258d5c870881909c75fab5ef8093bd completed June 7, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a2591728844819099129a16cb37bd69 completed June 7, 2026, 3:42 p.m.
Created at: April 28, 2026, 11:40 a.m.