Triple
T9812065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elrond |
E238295
|
entity |
| Predicate | associatedArtifact |
P2830
|
FINISHED |
| Object |
Vilya
Vilya is one of the three Elven Rings of Power in J.R.R. Tolkien’s legendarium, renowned as the mightiest of them and borne by Elrond in Rivendell.
|
E822693
|
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: Vilya | Statement: [Elrond, associatedArtifact, Vilya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilya Context triple: [Elrond, associatedArtifact, Vilya]
-
A.
Baradine
Baradine is a small rural town in New South Wales, Australia, known as a gateway to the Pilliga Forest and for its agricultural and forestry activities.
-
B.
Valaquenta
Valaquenta is a section of J.R.R. Tolkien’s legendarium that provides a mythological account of the Valar, the Maiar, and the cosmology of Middle-earth.
-
C.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
D.
Es Vedra
Es Vedra is a striking uninhabited rocky island off the southwest coast of Ibiza, Spain, famed for its dramatic cliffs, natural beauty, and associated myths and legends.
-
E.
Fasenra
Fasenra is a monoclonal antibody medication used to treat severe eosinophilic asthma by targeting and reducing eosinophil levels.
- 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: Vilya Triple: [Elrond, associatedArtifact, Vilya]
Generated description
Vilya is one of the three Elven Rings of Power in J.R.R. Tolkien’s legendarium, renowned as the mightiest of them and borne by Elrond in Rivendell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vilya Target entity description: Vilya is one of the three Elven Rings of Power in J.R.R. Tolkien’s legendarium, renowned as the mightiest of them and borne by Elrond in Rivendell.
-
A.
Baradine
Baradine is a small rural town in New South Wales, Australia, known as a gateway to the Pilliga Forest and for its agricultural and forestry activities.
-
B.
Valaquenta
Valaquenta is a section of J.R.R. Tolkien’s legendarium that provides a mythological account of the Valar, the Maiar, and the cosmology of Middle-earth.
-
C.
Vereya
Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
-
D.
Es Vedra
Es Vedra is a striking uninhabited rocky island off the southwest coast of Ibiza, Spain, famed for its dramatic cliffs, natural beauty, and associated myths and legends.
-
E.
Fasenra
Fasenra is a monoclonal antibody medication used to treat severe eosinophilic asthma by targeting and reducing eosinophil levels.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb222ba788190a9085272a3de7852 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5f768c8190987aaa7164f42444 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1ccd04b60819085a5bde42605ecf5 |
completed | April 5, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd70aa5481908b67afef279c38af |
completed | April 5, 2026, 2:48 a.m. |
Created at: March 30, 2026, 8:30 p.m.