Triple

T37711262
Position Surface form Disambiguated ID Type / Status
Subject S. Quentin Quale E939342 entity
Predicate partOfFranchise P1925 FINISHED
Object Marx Brothers films
Marx Brothers films are a series of classic American comedy movies featuring the anarchic, fast-talking Marx Brothers, known for their slapstick, wordplay, and satirical humor.
E57928 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: Marx Brothers films | Statement: [S. Quentin Quale, partOfFranchise, Marx Brothers films]
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: Marx Brothers films
Triple: [S. Quentin Quale, partOfFranchise, Marx Brothers films]
Generated description
Marx Brothers films are a series of classic American comedy movies featuring the anarchic, fast-talking Marx Brothers, known for their slapstick, wordplay, and satirical humor.

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_69f76edb49dc8190b951dce9ce6ef789 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae4b0ba08190bf3ae58df8b43fae completed May 6, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40f16f33bc8190af0cb62cd031954f completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f1eb2d2c8190842595f7772bfc14 completed June 28, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_6a40f3c74a04819081942b2678344b2c completed June 28, 2026, 10:13 a.m.
Created at: May 3, 2026, 4:18 p.m.