Triple

T25383149
Position Surface form Disambiguated ID Type / Status
Subject Sierra Railway No. 3 E631445 entity
Predicate usedIn P98 FINISHED
Object The Raiders (1963 film)
The Raiders is a 1963 American Western film featuring frontier conflicts and lawmen, notable for its use of the historic steam locomotive Sierra Railway No. 3.
E1674970 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: The Raiders (1963 film) | Statement: [Sierra Railway No. 3, usedIn, The Raiders (1963 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: The Raiders (1963 film)
Triple: [Sierra Railway No. 3, usedIn, The Raiders (1963 film)]
Generated description
The Raiders is a 1963 American Western film featuring frontier conflicts and lawmen, notable for its use of the historic steam locomotive Sierra Railway No. 3.

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_69e75a8c50788190aabaa9f96710fc43 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f55e611ed4819087a6014a4ec724c8 completed May 2, 2026, 2:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10760f3bd8819099470842b2e3a616 completed May 22, 2026, 3:28 p.m.
NEDg Description generation batch_6a107699fb7c8190b9f4c8fdc7220e4e completed May 22, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a107770ef888190a75d4d032c61077b completed May 22, 2026, 3:34 p.m.
Created at: April 21, 2026, 1:46 p.m.