Triple

T38190029
Position Surface form Disambiguated ID Type / Status
Subject Eric Eason E1005428 entity
Predicate notableWork P4 FINISHED
Object Journey to the End of the Night
Journey to the End of the Night is an independent crime drama film written and directed by Eric Eason, set in São Paulo’s criminal underworld and following a desperate father and son entangled in a dangerous deal.
E2259971 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: Journey to the End of the Night | Statement: [Eric Eason, notableWork, Journey to the End of the Night]
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: Journey to the End of the Night
Triple: [Eric Eason, notableWork, Journey to the End of the Night]
Generated description
Journey to the End of the Night is an independent crime drama film written and directed by Eric Eason, set in São Paulo’s criminal underworld and following a desperate father and son entangled in a dangerous deal.

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_69f76dbd22f48190940318cea061e8bb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb116a310819098037c38016d0c57 completed May 7, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a417b3fae14819083c6191c451d97fd completed June 28, 2026, 7:51 p.m.
NEDg Description generation batch_6a417cd7acc88190bd7681188167ea06 completed June 28, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a417d439728819098feaa986cae3336 completed June 28, 2026, 8 p.m.
Created at: May 3, 2026, 4:29 p.m.