Triple
T747772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Marshal |
E15380
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object |
The Most Noble
The Most Noble is an honorific style used in the United Kingdom for holders of the highest ranks of the peerage, such as dukes and certain great officers of state.
|
E90959
|
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 Most Noble | Statement: [Earl Marshal, style, The Most Noble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Most Noble Context triple: [Earl Marshal, style, The Most Noble]
-
A.
Grand Duke
The Grand Duke is the hereditary monarch and ceremonial head of state of the Grand Duchy of Luxembourg.
-
B.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
C.
His Majesty
His Majesty is the formal style of address used for a reigning male British monarch.
-
D.
Prince of Liège
Prince of Liège was the courtesy title held by Albert II of Belgium before he ascended the throne as King of the Belgians.
-
E.
His Royal Highness
His Royal Highness is a formal style used to address or refer to certain members of a royal family, typically princes and princesses.
- 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 Most Noble Triple: [Earl Marshal, style, The Most Noble]
Generated description
The Most Noble is an honorific style used in the United Kingdom for holders of the highest ranks of the peerage, such as dukes and certain great officers of state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Most Noble Target entity description: The Most Noble is an honorific style used in the United Kingdom for holders of the highest ranks of the peerage, such as dukes and certain great officers of state.
-
A.
Grand Duke
The Grand Duke is the hereditary monarch and ceremonial head of state of the Grand Duchy of Luxembourg.
-
B.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
C.
His Majesty
His Majesty is the formal style of address used for a reigning male British monarch.
-
D.
Prince of Liège
Prince of Liège was the courtesy title held by Albert II of Belgium before he ascended the throne as King of the Belgians.
-
E.
His Royal Highness
His Royal Highness is a formal style used to address or refer to certain members of a royal family, typically princes and princesses.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66671ebd48190a785be0ae0d3588c |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a666ded0288190a43e8a13db4f6914 |
completed | March 3, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a667b8de2c819092f9a4c10abeeb56 |
completed | March 3, 2026, 4:46 a.m. |
Created at: March 1, 2026, 7:37 p.m.