Triple

T36919145
Position Surface form Disambiguated ID Type / Status
Subject Essential Killing E913131 entity
Predicate musicBy P1952 FINISHED
Object Pawel Mykietyn
Paweł Mykietyn is a contemporary Polish composer known for his innovative concert works and acclaimed film scores.
E2282853 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: Pawel Mykietyn | Statement: [Essential Killing, musicBy, Pawel Mykietyn]
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: Pawel Mykietyn
Triple: [Essential Killing, musicBy, Pawel Mykietyn]
Generated description
Paweł Mykietyn is a contemporary Polish composer known for his innovative concert works and acclaimed film scores.

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_69f9fdcaaf7c81909fa854685f20b571 completed May 5, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a422ba1286c8190a2bba713774686ba completed June 29, 2026, 8:24 a.m.
NEDg Description generation batch_6a422c27fcd48190b18dc28056a71a96 completed June 29, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a422c7bb5008190ad708c4f89958071 completed June 29, 2026, 8:27 a.m.
Created at: May 3, 2026, 4:13 p.m.