Triple

T33285074
Position Surface form Disambiguated ID Type / Status
Subject Peter Clemenza E852160 entity
Predicate portrayedBy P1507 FINISHED
Object Richard S. Castellano
Richard S. Castellano was an American actor best known for his Oscar-nominated role in "Lovers and Other Strangers" and for playing caporegime Peter Clemenza in "The Godfather."
E2060365 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: Richard S. Castellano | Statement: [Peter Clemenza, portrayedBy, Richard S. Castellano]
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: Richard S. Castellano
Triple: [Peter Clemenza, portrayedBy, Richard S. Castellano]
Generated description
Richard S. Castellano was an American actor best known for his Oscar-nominated role in "Lovers and Other Strangers" and for playing caporegime Peter Clemenza in "The Godfather."

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_69f349660ff48190a4568803d0b89941 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6de6daa688190b7fac5bcc226e564 completed May 3, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36117b0860819093470f12511de8e9 completed June 20, 2026, 4:05 a.m.
NEDg Description generation batch_6a36211ddc608190a780193bd49f6442 completed June 20, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a3621a2708481909ce510ca390eddb7 completed June 20, 2026, 5:14 a.m.
Created at: May 1, 2026, 1:32 a.m.