Triple
T4952075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tristan und Isolde |
E111190
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Melot
Melot is a minor but pivotal character in Richard Wagner’s opera "Tristan und Isolde," known for betraying Tristan and triggering the tragic climax of the story.
|
E483267
|
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: Melot | Statement: [Tristan und Isolde, character, Melot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melot Context triple: [Tristan und Isolde, character, Melot]
-
A.
Mora
Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
-
B.
Mora
Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
-
C.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
D.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- 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: Melot Triple: [Tristan und Isolde, character, Melot]
Generated description
Melot is a minor but pivotal character in Richard Wagner’s opera "Tristan und Isolde," known for betraying Tristan and triggering the tragic climax of the story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melot Target entity description: Melot is a minor but pivotal character in Richard Wagner’s opera "Tristan und Isolde," known for betraying Tristan and triggering the tragic climax of the story.
-
A.
Mora
Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
-
B.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
C.
Mora
Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
-
D.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71b6a5d481909ad6f5e0b752496c |
completed | March 20, 2026, 4:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81d773bc8190861be7ad83de6c2a |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be82dcc280819098eac824370b1af0 |
completed | March 21, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8349507481908643591de7f03f42 |
completed | March 21, 2026, 11:38 a.m. |
Created at: March 20, 2026, 1:31 p.m.