Triple
T17545782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sister |
E427320
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Pipeline/Kill Time
"Pipeline/Kill Time" is a song by the American rock band Sister.
|
E1275397
|
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: Pipeline/Kill Time | Statement: [Sister, hasTrack, Pipeline/Kill Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pipeline/Kill Time Context triple: [Sister, hasTrack, Pipeline/Kill Time]
-
A.
Pipeline
Pipeline is a contemporary stage play by Dominique Morisseau that explores race, class, and the school-to-prison pipeline through the story of an inner-city teacher and her son.
-
B.
Pipeline
Pipeline is a scikit-learn utility that chains multiple data processing and modeling steps into a single composite estimator for streamlined machine learning workflows.
-
C.
Pipeline
Pipeline, commonly referring to the Banzai Pipeline, is a world-famous surf reef break on Oʻahu’s North Shore in Hawaii known for its powerful, hollow waves that break over a shallow coral reef.
-
D.
Pipeline Masters
Pipeline Masters is a prestigious professional surfing competition held annually at the world-famous Banzai Pipeline on Oʻahu’s North Shore.
-
E.
Pipeline Punch
Pipeline Punch is a tropical fruit-flavored energy drink variant in the Monster Energy lineup.
- 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: Pipeline/Kill Time Triple: [Sister, hasTrack, Pipeline/Kill Time]
Generated description
"Pipeline/Kill Time" is a song by the American rock band Sister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pipeline/Kill Time Target entity description: "Pipeline/Kill Time" is a song by the American rock band Sister.
-
A.
Pipeline
Pipeline is a contemporary stage play by Dominique Morisseau that explores race, class, and the school-to-prison pipeline through the story of an inner-city teacher and her son.
-
B.
Pipeline
Pipeline is a scikit-learn utility that chains multiple data processing and modeling steps into a single composite estimator for streamlined machine learning workflows.
-
C.
Pipeline
Pipeline, commonly referring to the Banzai Pipeline, is a world-famous surf reef break on Oʻahu’s North Shore in Hawaii known for its powerful, hollow waves that break over a shallow coral reef.
-
D.
Pipeline Masters
Pipeline Masters is a prestigious professional surfing competition held annually at the world-famous Banzai Pipeline on Oʻahu’s North Shore.
-
E.
Pipeline Punch
Pipeline Punch is a tropical fruit-flavored energy drink variant in the Monster Energy lineup.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45461643881909b106bafb89253b3 |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d28d08ac8190aa60b1389892aeae |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d3d64a208190bb21859b76bfbc1f |
completed | May 11, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d4ab1f048190b30a8f57878d522e |
completed | May 11, 2026, 1:07 p.m. |
Created at: April 10, 2026, 5:49 a.m.