Triple

T27722079
Position Surface form Disambiguated ID Type / Status
Subject The Eichmann Show E698983 entity
Predicate executiveProducer P7225 FINISHED
Object Nick Pitt
Nick Pitt is a television and film producer best known for his work on the BBC drama "The Eichmann Show," which recreates the 1961 trial of Nazi war criminal Adolf Eichmann.
E1789469 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: Nick Pitt | Statement: [The Eichmann Show, executiveProducer, Nick Pitt]
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: Nick Pitt
Triple: [The Eichmann Show, executiveProducer, Nick Pitt]
Generated description
Nick Pitt is a television and film producer best known for his work on the BBC drama "The Eichmann Show," which recreates the 1961 trial of Nazi war criminal Adolf Eichmann.

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_69ef591012dc8190a6f1ec994f9f7ff7 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f6363d2d608190a1128b7326403028 completed May 2, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12eca6e9188190bc83bb0b6df4fcee completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ed678580819082d28135e3fcb818 completed May 24, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12eef15e2c819099088626fb78adce completed May 24, 2026, 12:28 p.m.
Created at: April 27, 2026, 3:07 p.m.