Triple
T15971187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eli Russell Linnetz |
E387326
|
entity |
| Predicate | designedForBrand |
P9494
|
FINISHED |
| Object |
ERL
ERL is a contemporary fashion label known for its colorful, nostalgic, and surf-skate-inspired designs created by American designer Eli Russell Linnetz.
|
E1186336
|
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: ERL | Statement: [Eli Russell Linnetz, designedForBrand, ERL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ERL Context triple: [Eli Russell Linnetz, designedForBrand, ERL]
-
A.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
B.
ERL
ERL is the National Rail station code for Earlestown railway station in Merseyside, England.
-
C.
ERLC
ERLC is the public policy and ethics arm of the Southern Baptist Convention, focusing on religious liberty, moral issues, and cultural engagement from an evangelical Christian perspective.
-
D.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
E.
ERZ
ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
- 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: ERL Triple: [Eli Russell Linnetz, designedForBrand, ERL]
Generated description
ERL is a contemporary fashion label known for its colorful, nostalgic, and surf-skate-inspired designs created by American designer Eli Russell Linnetz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ERL Target entity description: ERL is a contemporary fashion label known for its colorful, nostalgic, and surf-skate-inspired designs created by American designer Eli Russell Linnetz.
-
A.
ERL
ERL is a research facility focused on studying and developing technologies for the exploration, monitoring, and management of Earth's natural resources.
-
B.
ERL
ERL is the National Rail station code for Earlestown railway station in Merseyside, England.
-
C.
ERLC
ERLC is the public policy and ethics arm of the Southern Baptist Convention, focusing on religious liberty, moral issues, and cultural engagement from an evangelical Christian perspective.
-
D.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
E.
ERZ
ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15729d73c8190a4140a0e55ee2566 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.