Triple
T21845897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Sweatshirt |
E539371
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Hive
"Hive" is a critically acclaimed hip-hop track by Earl Sweatshirt known for its dense lyricism, dark atmosphere, and standout guest verses.
|
E1505076
|
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: Hive | Statement: [Earl Sweatshirt, notableSong, Hive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hive Context triple: [Earl Sweatshirt, notableSong, Hive]
-
A.
Hive
The Hive is the Zerg’s ultimate tech structure in StarCraft, enabling advanced units, upgrades, and late-game capabilities.
-
B.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
C.
Hudi
Hudi is an open-source data lake storage framework that enables efficient upserts, deletes, and incremental processing on large analytical datasets, commonly used on platforms like Hadoop and cloud object stores.
-
D.
HiveQL
HiveQL is a SQL-like query language designed for managing and analyzing large datasets stored in Apache Hive’s data warehouse system on Hadoop.
-
E.
Hive Metastore
Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
- 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: Hive Triple: [Earl Sweatshirt, notableSong, Hive]
Generated description
"Hive" is a critically acclaimed hip-hop track by Earl Sweatshirt known for its dense lyricism, dark atmosphere, and standout guest verses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hive Target entity description: "Hive" is a critically acclaimed hip-hop track by Earl Sweatshirt known for its dense lyricism, dark atmosphere, and standout guest verses.
-
A.
Hive
The Hive is the Zerg’s ultimate tech structure in StarCraft, enabling advanced units, upgrades, and late-game capabilities.
-
B.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
C.
Hudi
Hudi is an open-source data lake storage framework that enables efficient upserts, deletes, and incremental processing on large analytical datasets, commonly used on platforms like Hadoop and cloud object stores.
-
D.
HiveQL
HiveQL is a SQL-like query language designed for managing and analyzing large datasets stored in Apache Hive’s data warehouse system on Hadoop.
-
E.
Hive Metastore
Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd546fb48190a7b815233650c2e7 |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bcabfdc819083ffb78747a50a82 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4ceefdd88190aa3790bfd9df882b |
completed | May 17, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4da50c988190a41a4fcb83ae02a6 |
completed | May 17, 2026, 11:22 p.m. |
Created at: April 16, 2026, 6:55 p.m.