Triple

T26435569
Position Surface form Disambiguated ID Type / Status
Subject The Snow Walker E664936 entity
Predicate basedOn P98 FINISHED
Object Walk Well, My Brother
"Walk Well, My Brother" is a short story by Farley Mowat about a downed pilot’s struggle for survival in the Arctic aided by an Inuit woman, later adapted into the film *The Snow Walker*.
 E1724376 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: Walk Well, My Brother | Statement: [The Snow Walker, basedOn, Walk Well, My Brother]
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: Walk Well, My Brother
Triple: [The Snow Walker, basedOn, Walk Well, My Brother]
Generated description
"Walk Well, My Brother" is a short story by Farley Mowat about a downed pilot’s struggle for survival in the Arctic aided by an Inuit woman, later adapted into the film *The Snow Walker*.

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_69ee883c851881909e2ab04efbb3c5fe completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f61212c5248190b93d45471c6f6306 completed May 2, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aecbfdec8190902b1a85c27f3266 completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af9c1be081909d2e461e3da596d6 completed May 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a11b051d328819090f947755dda4cfc completed May 23, 2026, 1:49 p.m.
Created at: April 26, 2026, 11:53 p.m.