Triple
T11856112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lothlórien |
E282042
|
entity |
| Predicate | notableInhabitant |
P1092
|
FINISHED |
| Object |
Rúmil
Rúmil is an Elven marchwarden of Lothlórien in J.R.R. Tolkien’s legendarium, known for guarding its borders and first encountering the Fellowship of the Ring.
|
E949080
|
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: Rúmil | Statement: [Lothlórien, notableInhabitant, Rúmil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rúmil Context triple: [Lothlórien, notableInhabitant, Rúmil]
-
A.
Raginmund
Raginmund is a Germanic personal name of early medieval origin that later evolved into forms such as the Spanish given name Ramón.
-
B.
Gylfi
Gylfi is an Icelandic given name most notably borne by professional footballer Gylfi Sigurðsson.
-
C.
Erlingr
Erlingr is a variant form of the Scandinavian given name Erling, traditionally associated with Norse and Germanic origins.
-
D.
Ragnar
Ragnar is a masculine given name of Old Norse origin, historically associated with Viking-age Scandinavia and later borne by various notable figures.
-
E.
Sigmundr
Sigmundr is an Old Norse masculine given name, cognate with names like Sigmund, that appears in Norse sagas and mythological traditions.
- 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: Rúmil Triple: [Lothlórien, notableInhabitant, Rúmil]
Generated description
Rúmil is an Elven marchwarden of Lothlórien in J.R.R. Tolkien’s legendarium, known for guarding its borders and first encountering the Fellowship of the Ring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rúmil Target entity description: Rúmil is an Elven marchwarden of Lothlórien in J.R.R. Tolkien’s legendarium, known for guarding its borders and first encountering the Fellowship of the Ring.
-
A.
Raginmund
Raginmund is a Germanic personal name of early medieval origin that later evolved into forms such as the Spanish given name Ramón.
-
B.
Gylfi
Gylfi is an Icelandic given name most notably borne by professional footballer Gylfi Sigurðsson.
-
C.
Erlingr
Erlingr is a variant form of the Scandinavian given name Erling, traditionally associated with Norse and Germanic origins.
-
D.
Ragnar
Ragnar is a masculine given name of Old Norse origin, historically associated with Viking-age Scandinavia and later borne by various notable figures.
-
E.
Sigmundr
Sigmundr is an Old Norse masculine given name, cognate with names like Sigmund, that appears in Norse sagas and mythological traditions.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167d9b9e8819093582637941fc5ca |
completed | April 29, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_69f17006e6108190b51b20ddf6d2368c |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17819af5c8190a98db3cd8eff8da2 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.