Triple
T37711602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | various Roy Rogers Western films |
E939354
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Springtime in the Sierras
Springtime in the Sierras is a 1947 Roy Rogers musical Western film featuring singing cowboy adventures set against a scenic mountain backdrop.
|
E2239319
|
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: Springtime in the Sierras | Statement: [various Roy Rogers Western films, notableWork, Springtime in the Sierras]
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: Springtime in the Sierras Triple: [various Roy Rogers Western films, notableWork, Springtime in the Sierras]
Generated description
Springtime in the Sierras is a 1947 Roy Rogers musical Western film featuring singing cowboy adventures set against a scenic mountain backdrop.
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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbae4b0ba08190bf3ae58df8b43fae |
completed | May 6, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40cdd23c5c8190aa19fff8a1d80db9 |
completed | June 28, 2026, 7:31 a.m. |
| NEDg | Description generation | batch_6a40ce7402cc8190abf4f70571b98544 |
completed | June 28, 2026, 7:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40d066df1481908f66e684e88b8380 |
completed | June 28, 2026, 7:42 a.m. |
Created at: May 3, 2026, 4:18 p.m.