Triple

T32245706
Position Surface form Disambiguated ID Type / Status
Subject The Frisco Kid E823740 entity
Predicate starring P1507 FINISHED
Object Val Bisoglio
Val Bisoglio was an American character actor known for his supporting roles in film and television, including appearances in projects like Saturday Night Fever and the series M*A*S*H.
 E1997666 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: Val Bisoglio | Statement: [The Frisco Kid, starring, Val Bisoglio]
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: Val Bisoglio
Triple: [The Frisco Kid, starring, Val Bisoglio]
Generated description
Val Bisoglio was an American character actor known for his supporting roles in film and television, including appearances in projects like Saturday Night Fever and the series M*A*S*H.

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_69f3490cdda88190a9d61e11252a771f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc33ab4c8190ab3bdaa735ceddb6 completed May 3, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3bb56c608190b62c46a4423e04b0 completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3ffa3e18819096f5d213fe7e7a75 completed June 14, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_6a2f405f21048190b713650f591109cd completed June 14, 2026, 11:59 p.m.
Created at: May 1, 2026, 12:40 a.m.