Triple

T36918124
Position Surface form Disambiguated ID Type / Status
Subject Gene Gutowski E913099 entity
Predicate alternateName P39 FINISHED
Object Eugeniusz Gutowski
Eugeniusz Gutowski was a Polish-born film producer best known for his collaborations with director Roman Polanski on acclaimed films such as "Repulsion" and "The Pianist."
E2288798 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: Eugeniusz Gutowski | Statement: [Gene Gutowski, alternateName, Eugeniusz Gutowski]
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: Eugeniusz Gutowski
Triple: [Gene Gutowski, alternateName, Eugeniusz Gutowski]
Generated description
Eugeniusz Gutowski was a Polish-born film producer best known for his collaborations with director Roman Polanski on acclaimed films such as "Repulsion" and "The Pianist."

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_69f76e885b848190bad82c87e9525486 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fdc9f71c8190b8090b0cfec54da5 completed May 5, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5add677c5c8190b7c7e8f8d89819c4 completed July 18, 2026, 1:56 a.m.
NEDg Description generation batch_6a5addf1acd08190aeee8b4a0906a9e1 completed July 18, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a5ade52d1788190b2e15630541c5016 completed July 18, 2026, 2 a.m.
Created at: May 3, 2026, 4:13 p.m.