Triple
T19978590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wealhtheow |
E493755
|
entity |
| Predicate | nameInOldEnglish |
P78327
|
FINISHED |
| Object |
Wēalhþēow
Wēalhþēow is the queen of the Danes and wife of King Hrothgar in the Old English epic poem Beowulf, known for her role as a gracious hostess and counselor.
|
E1403966
|
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: Wēalhþēow | Statement: [Wealhtheow, nameInOldEnglish, Wēalhþēow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wēalhþēow Context triple: [Wealhtheow, nameInOldEnglish, Wēalhþēow]
-
A.
Änglamark
Änglamark is a beloved Swedish song and environmental anthem written by troubadour Evert Taube, often associated with nature conservation and the Swedish green movement.
-
B.
Witan
The Witan was a council of nobles and clergy in early medieval England that advised Anglo-Saxon kings on matters of law, governance, and succession.
-
C.
Gefn
Gefn is an epithet of the Norse goddess Freyja, associated with love, beauty, fertility, and prosperity.
-
D.
Danelaw
Danelaw was a historical region of England under Scandinavian control and influence, characterized by Norse law, culture, and settlement during the early Middle Ages.
-
E.
Alfrid
Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
- 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: Wēalhþēow Triple: [Wealhtheow, nameInOldEnglish, Wēalhþēow]
Generated description
Wēalhþēow is the queen of the Danes and wife of King Hrothgar in the Old English epic poem Beowulf, known for her role as a gracious hostess and counselor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wēalhþēow Target entity description: Wēalhþēow is the queen of the Danes and wife of King Hrothgar in the Old English epic poem Beowulf, known for her role as a gracious hostess and counselor.
-
A.
Änglamark
Änglamark is a beloved Swedish song and environmental anthem written by troubadour Evert Taube, often associated with nature conservation and the Swedish green movement.
-
B.
Witan
The Witan was a council of nobles and clergy in early medieval England that advised Anglo-Saxon kings on matters of law, governance, and succession.
-
C.
Gefn
Gefn is an epithet of the Norse goddess Freyja, associated with love, beauty, fertility, and prosperity.
-
D.
Danelaw
Danelaw was a historical region of England under Scandinavian control and influence, characterized by Norse law, culture, and settlement during the early Middle Ages.
-
E.
Alfrid
Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d11108481908241a2a96a795a7d |
completed | April 20, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fddbb1fc8190b5e5bd429e80e6d5 |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07feea266c81909da71d549a8857d3 |
completed | May 16, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff598550819093b6303a88dfefd2 |
completed | May 16, 2026, 5:23 a.m. |
Created at: April 11, 2026, 3:27 p.m.