Triple

T28903103
Position Surface form Disambiguated ID Type / Status
Subject Black Dog Films E733001 entity
Predicate associatedWith P37 FINISHED
Object Jordan Scott
Jordan Scott is a British film director and screenwriter known for her work in commercials, music videos, and feature films, and for being the daughter of renowned director Ridley Scott.
E1839798 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: Jordan Scott | Statement: [Black Dog Films, associatedWith, Jordan Scott]
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: Jordan Scott
Triple: [Black Dog Films, associatedWith, Jordan Scott]
Generated description
Jordan Scott is a British film director and screenwriter known for her work in commercials, music videos, and feature films, and for being the daughter of renowned director Ridley Scott.

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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65ad890b88190a1a2214e5da01585 completed May 2, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d40ffd648190a2c5c08a75009c1d completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d85c0b6c8190981484ea9cab005b completed June 7, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a24dc3904c8819083e4eed8b2371d03 completed June 7, 2026, 2:49 a.m.
Created at: April 28, 2026, 8:04 a.m.