Triple

T26431899
Position Surface form Disambiguated ID Type / Status
Subject Ruggles of Red Gap E664531 entity
Predicate hasFilmAdaptationOfSameWork P15523 FINISHED
Object Ruggles of Red Gap (1918 film)
Ruggles of Red Gap (1918 film) is a silent comedy movie adaptation of Harry Leon Wilson’s novel about an English valet who is brought to the American West and must adjust to its egalitarian culture.
E1728602 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: Ruggles of Red Gap (1918 film) | Statement: [Ruggles of Red Gap, hasFilmAdaptationOfSameWork, Ruggles of Red Gap (1918 film)]
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: Ruggles of Red Gap (1918 film)
Triple: [Ruggles of Red Gap, hasFilmAdaptationOfSameWork, Ruggles of Red Gap (1918 film)]
Generated description
Ruggles of Red Gap (1918 film) is a silent comedy movie adaptation of Harry Leon Wilson’s novel about an English valet who is brought to the American West and must adjust to its egalitarian culture.

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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f73a3c73cc81908477f85f697457d0 completed May 3, 2026, 12:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb16ee888190a87000f8dbb1d877 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be5f621881908d83370dd283a10f completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf7e1de48190ba8ed044628d5bf7 completed May 23, 2026, 2:53 p.m.
Created at: April 26, 2026, 11:50 p.m.