Triple

T29471391
Position Surface form Disambiguated ID Type / Status
Subject Amphibian Man (1962 film) E747515 entity
Predicate director P255 FINISHED
Object Vladimir Chebotaryov
Vladimir Chebotaryov was a Soviet film director best known for co-directing the popular science fiction romance "Amphibian Man" (1962).
E1872873 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: Vladimir Chebotaryov | Statement: [Amphibian Man (1962 film), director, Vladimir Chebotaryov]
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: Vladimir Chebotaryov
Triple: [Amphibian Man (1962 film), director, Vladimir Chebotaryov]
Generated description
Vladimir Chebotaryov was a Soviet film director best known for co-directing the popular science fiction romance "Amphibian Man" (1962).

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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66babf5e08190b8e1007546f3881a completed May 2, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c125f508190a59b77a31d89ee13 completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a26103b50948190a67b288cf9f474ce completed June 8, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a261bab40048190b31f5b12454bedbf completed June 8, 2026, 1:32 a.m.
Created at: April 28, 2026, 3:57 p.m.