Triple
T12211263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John I, Count of Holland |
E290964
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
|
E972143
|
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: John | Statement: [John I, Count of Holland, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John I, Count of Holland, givenName, John]
-
A.
John
John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
-
B.
John
John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
-
C.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
D.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
E.
John
John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
- 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: John Triple: [John I, Count of Holland, givenName, John]
Generated description
John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John I, Count of Holland, was a medieval nobleman who ruled the County of Holland at the turn of the 14th century.
-
A.
John
John I, Duke of Brittany, was a 13th-century French nobleman who ruled Brittany and was involved in the complex feudal politics between France and England.
-
B.
John
John V, Duke of Brittany, was a 15th-century French nobleman who ruled the Duchy of Brittany and played a significant role in the politics of the Hundred Years' War.
-
C.
John
John of Montfort was a 14th-century nobleman involved in the Breton succession disputes during the Hundred Years’ War.
-
D.
John
John III, Duke of Brittany, was a 14th-century French nobleman who ruled the Duchy of Brittany and played a key role in the succession disputes that led to the Breton War of Succession.
-
E.
John
John is the given name of Sir John Woodville, a 15th-century English nobleman associated with the influential Woodville family during the Wars of the Roses.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c915f548190b34a743f0a3bb51a |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a62f0fc8190a3d15ccfb23bb788 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f6128da2c4819095bef0cb02a3d39d |
completed | May 2, 2026, 3:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6134f17c88190a17e1672b9eb2191 |
completed | May 2, 2026, 3:07 p.m. |
Created at: April 8, 2026, 9:51 p.m.