Triple

T24029484
Position Surface form Disambiguated ID Type / Status
Subject DeWitt Jennings E595058 entity
Predicate notableWork P4 FINISHED
Object The Public Enemy (1931 film)
The Public Enemy is a landmark 1931 American pre-Code gangster film starring James Cagney, renowned for its gritty portrayal of Prohibition-era crime and its influential impact on the gangster genre.
E1614865 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: The Public Enemy (1931 film) | Statement: [DeWitt Jennings, notableWork, The Public Enemy (1931 film)]
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: The Public Enemy (1931 film)
Triple: [DeWitt Jennings, notableWork, The Public Enemy (1931 film)]
Generated description
The Public Enemy is a landmark 1931 American pre-Code gangster film starring James Cagney, renowned for its gritty portrayal of Prohibition-era crime and its influential impact on the gangster genre.

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_69e288bf45f08190a1b6ed8cd0b9e86b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d76e10fc8190afa60c618a4398ee completed April 29, 2026, 10:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7eab2d888190957c2537d3f26d43 completed May 21, 2026, 9:52 p.m.
NEDg Description generation batch_6a0f7f6edf7081908ac1045c372e6351 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f801bcc9c81908bbb270d7e762c11 completed May 21, 2026, 9:58 p.m.
Created at: April 17, 2026, 9:55 p.m.