Triple
T16048597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring Byington |
E389289
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Spring
Spring is a feminine given name most notably borne by American actress Spring Byington.
|
E1190883
|
NE FINISHED |
How this triple was built (4 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: Spring | Statement: [Spring Byington, givenName, Spring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spring Context triple: [Spring Byington, givenName, Spring]
-
A.
Spring
"Spring" is a 2019 novel by Ali Smith, part of her acclaimed Seasonal Quartet, that intertwines contemporary politics, migration, and art in a formally inventive narrative.
-
B.
Spring
Spring is a widely used Java application framework that simplifies building enterprise-level, modular, and testable applications.
-
C.
Spring
"Spring" is the opening section of Joseph Haydn’s oratorio *The Seasons*, depicting the renewal of nature and rural life at the start of the year.
-
D.
Spring
"Spring" is a jazz album by pioneering drummer Tony Williams, known for its adventurous post-bop compositions and innovative ensemble interplay.
-
E.
Spring
"Spring" is the popular nickname of Robert Schumann’s Symphony No. 1 in B-flat major, Op. 38, celebrated for its bright, optimistic character evocative of the season.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Spring Triple: [Spring Byington, givenName, Spring]
Generated description
Spring is a feminine given name most notably borne by American actress Spring Byington.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spring Target entity description: Spring is a feminine given name most notably borne by American actress Spring Byington.
-
A.
Spring
"Spring" is a classic Soviet musical comedy film starring Lyubov Orlova, celebrated for its lighthearted tone, memorable songs, and satirical portrayal of postwar Soviet society.
-
B.
Spring
"Spring" is the popular nickname of Robert Schumann’s Symphony No. 1 in B-flat major, Op. 38, celebrated for its bright, optimistic character evocative of the season.
-
C.
Spring
Spring is a suburban community in the Houston metropolitan area of Texas, known for its residential neighborhoods, schools, and proximity to major transportation routes.
-
D.
Spring
"Spring" is a multi-movement instrumental track from Lupe Fiasco’s concept album *Tetsuo & Youth*, known for its intricate composition and seasonal theme.
-
E.
Spring
"Spring" is the opening section of Joseph Haydn’s oratorio *The Seasons*, depicting the renewal of nature and rural life at the start of the year.
- F. None of above. chosen
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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18360464881909fd4d3bcb4ffb7f5 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbddc25481908fca660c4f14eaff |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdc915be88190a0e949fcee608242 |
completed | May 10, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd17239c8190a3c0c4d146a279f7 |
completed | May 10, 2026, 1:19 a.m. |
Created at: April 10, 2026, 4:56 a.m.