Triple

T32130427
Position Surface form Disambiguated ID Type / Status
Subject Vin Makazian E820627 entity
Predicate lastAppearanceEpisode P16814 FINISHED
Object “Nobody Knows Anything”
“Nobody Knows Anything” is an episode of the television series *The Sopranos* notable for its pivotal plot developments and the character arc involving corrupt detective Vin Makazian.
 E1992793 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: “Nobody Knows Anything” | Statement: [Vin Makazian, lastAppearanceEpisode, “Nobody Knows Anything”]
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: “Nobody Knows Anything”
Triple: [Vin Makazian, lastAppearanceEpisode, “Nobody Knows Anything”]
Generated description
“Nobody Knows Anything” is an episode of the television series *The Sopranos* notable for its pivotal plot developments and the character arc involving corrupt detective Vin Makazian.

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_69f349039e0c819091c7a7d322e3f46d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b96f3f108190a138524eb7e07fbf completed May 3, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f01371bd88190a447bdea6f290210 completed June 14, 2026, 7:29 p.m.
NEDg Description generation batch_6a2f0210c6dc8190953859020baa3729 completed June 14, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_6a2f02d5cbd481909145d4f34327e615 completed June 14, 2026, 7:36 p.m.
Created at: May 1, 2026, 12:29 a.m.