Triple
T15359453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Randall |
E367250
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nouns
Nouns is an experimental music project and recording alias known for its lo-fi, genre-blending sound and association with the work of musician Randy Randall.
|
E1153249
|
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: Nouns | Statement: [Randy Randall, notableWork, Nouns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nouns Context triple: [Randy Randall, notableWork, Nouns]
-
A.
Nomes
Nomes are a subterranean, gnome-like race of magical beings in L. Frank Baum’s Oz universe, typically depicted as miners and antagonists who covet precious metals and jewels.
-
B.
NQU
NQU is the National Rail station code for North Queensferry railway station in Fife, Scotland.
-
C.
Nos
Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
-
D.
Nos
Nos is a railway station in Chile that serves as a stop on the Metrotren Nos commuter rail service connecting Santiago with its southern suburbs.
-
E.
N
The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
- 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: Nouns Triple: [Randy Randall, notableWork, Nouns]
Generated description
Nouns is an experimental music project and recording alias known for its lo-fi, genre-blending sound and association with the work of musician Randy Randall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nouns Target entity description: Nouns is an experimental music project and recording alias known for its lo-fi, genre-blending sound and association with the work of musician Randy Randall.
-
A.
Nomes
Nomes are a subterranean, gnome-like race of magical beings in L. Frank Baum’s Oz universe, typically depicted as miners and antagonists who covet precious metals and jewels.
-
B.
NQU
NQU is the National Rail station code for North Queensferry railway station in Fife, Scotland.
-
C.
Nos
Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
-
D.
Nos
Nos is a railway station in Chile that serves as a stop on the Metrotren Nos commuter rail service connecting Santiago with its southern suburbs.
-
E.
N
The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0dde2ec48190aac70b0513fb1847 |
completed | May 9, 2026, 10:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e5eabf08190811d8a91bfe0de76 |
completed | May 9, 2026, 10:37 a.m. |
Created at: April 10, 2026, 3:18 a.m.