Triple
T3727983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik the Red |
E78994
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
the Red
"The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
|
E384766
|
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: the Red | Statement: [Erik the Red, epithet, the Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Red Context triple: [Erik the Red, epithet, the Red]
-
A.
(RED)
(RED) is a global charity initiative and brand that partners with companies to raise funds and awareness to fight AIDS and other preventable diseases, particularly in Africa.
-
B.
Rojo
Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
-
C.
Rojo
"Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
-
D.
Red V
Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
-
E.
Red
Red is the nickname of Red Rolfe, an American Major League Baseball third baseman best known for his years with the New York Yankees in the 1930s and 1940s.
- 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: the Red Triple: [Erik the Red, epithet, the Red]
Generated description
"The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the Red Target entity description: "The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
-
A.
(RED)
(RED) is a global charity initiative and brand that partners with companies to raise funds and awareness to fight AIDS and other preventable diseases, particularly in Africa.
-
B.
Rojo
Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
-
C.
Rojo
"Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
-
D.
Red V
Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
-
E.
Red
"Red" is a stage play by John Logan that dramatizes the life and work of abstract expressionist painter Mark Rothko, particularly his creation of the Seagram Murals.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf921bc81908bb347d6b9204670 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1102a08190b5965c474dfab6db |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4dc11101881909fe33e7675fc24a1 |
completed | March 14, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dfbfd4248190b112cd4ef8ab9c5f |
completed | March 14, 2026, 4:10 a.m. |
Created at: March 8, 2026, 3:34 p.m.