Triple

T28208612
Position Surface form Disambiguated ID Type / Status
Subject Emeric Pressburger E717095 entity
Predicate notableWork P4 FINISHED
Object Gone to Earth
Gone to Earth is a 1950 British romantic drama film, co-written and co-directed by Michael Powell and Emeric Pressburger, adapted from Mary Webb’s novel about a free-spirited Shropshire girl torn between two very different men.
 E658376 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: Gone to Earth | Statement: [Emeric Pressburger, notableWork, Gone to Earth]
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: Gone to Earth
Triple: [Emeric Pressburger, notableWork, Gone to Earth]
Generated description
Gone to Earth is a 1950 British romantic drama film, co-written and co-directed by Michael Powell and Emeric Pressburger, adapted from Mary Webb’s novel about a free-spirited Shropshire girl torn between two very different men.

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_69efd6b826908190857e6e7dad74ed93 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6430fdf488190b01ad19531e96991 completed May 2, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a162798aae4819096a6658c27d921bc completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a1628f366d88190b10dda8b0ab63762 completed May 26, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a16297370d08190a0088aa14476bb1f completed May 26, 2026, 11:14 p.m.
Created at: April 27, 2026, 10:37 p.m.