Triple

T37319297
Position Surface form Disambiguated ID Type / Status
Subject Safdie brothers filmography E926423 entity
Predicate includesWork P2011 FINISHED
Object There’s Nothing You Can Do
"There’s Nothing You Can Do" is an early short film by the Safdie brothers, reflecting their raw, character-driven style that would later define their acclaimed independent features.
 E2222494 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: There’s Nothing You Can Do | Statement: [Safdie brothers filmography, includesWork, There’s Nothing You Can Do]
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: There’s Nothing You Can Do
Triple: [Safdie brothers filmography, includesWork, There’s Nothing You Can Do]
Generated description
"There’s Nothing You Can Do" is an early short film by the Safdie brothers, reflecting their raw, character-driven style that would later define their acclaimed independent features.

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_69f76eb28af88190b093b32e3fd614ab completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5b3dfd448190b52ce05d3fd1668e completed May 6, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406398d6b48190ab2e6ca74ea45a65 completed June 27, 2026, 11:58 p.m.
NEDg Description generation batch_6a4064848df08190a77ea89ccbce06af completed June 28, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a406574585c8190a8d9f3565bdd46ea completed June 28, 2026, 12:06 a.m.
Created at: May 3, 2026, 4:16 p.m.