Triple

T28866371
Position Surface form Disambiguated ID Type / Status
Subject Richard Alan Simmons E729009 entity
Predicate notableWork P4 FINISHED
Object The New Breed
The New Breed is an American crime drama television series from the early 1960s, created by writer-producer Richard Alan Simmons and starring Leslie Nielsen as a dedicated Los Angeles police detective.
E1836450 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 New Breed | Statement: [Richard Alan Simmons, notableWork, The New Breed]
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 New Breed
Triple: [Richard Alan Simmons, notableWork, The New Breed]
Generated description
The New Breed is an American crime drama television series from the early 1960s, created by writer-producer Richard Alan Simmons and starring Leslie Nielsen as a dedicated Los Angeles police detective.

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_69f031a01cbc8190ba87270bb6fe4639 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65a1be8288190aab1e0c93472e2f0 completed May 2, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbc5e3348190b767a0fa11a973a0 completed June 7, 2026, 12:31 a.m.
NEDg Description generation batch_6a24c060551081908dedcfdc6fb2078e completed June 7, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a24c56b83688190a2f392408ddc04dc completed June 7, 2026, 1:12 a.m.
Created at: April 28, 2026, 6:48 a.m.