Triple
T7369192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Norwich |
E169949
|
entity |
| Predicate | firstIncumbent |
P4891
|
FINISHED |
| Object |
Herfast
Herfast was an 11th-century Norman cleric who became the first Bishop of Norwich after the Norman Conquest of England.
|
E660106
|
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: Herfast | Statement: [Bishop of Norwich, firstIncumbent, Herfast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herfast Context triple: [Bishop of Norwich, firstIncumbent, Herfast]
-
A.
Allfrey
Allfrey is an English surname borne by various notable individuals, including military figures and writers.
-
B.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
C.
Gothardus
Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
-
D.
Mardian
Mardian is a minor eunuch and servant in William Shakespeare’s tragedy "Antony and Cleopatra," known for his loyalty to Cleopatra.
-
E.
White Flint
White Flint was a Washington Metro station in North Bethesda, Maryland, serving the Red Line and the nearby White Flint Mall area before being renamed.
- 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: Herfast Triple: [Bishop of Norwich, firstIncumbent, Herfast]
Generated description
Herfast was an 11th-century Norman cleric who became the first Bishop of Norwich after the Norman Conquest of England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herfast Target entity description: Herfast was an 11th-century Norman cleric who became the first Bishop of Norwich after the Norman Conquest of England.
-
A.
Allfrey
Allfrey is an English surname borne by various notable individuals, including military figures and writers.
-
B.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
-
C.
Gothardus
Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
-
D.
Mardian
Mardian is a minor eunuch and servant in William Shakespeare’s tragedy "Antony and Cleopatra," known for his loyalty to Cleopatra.
-
E.
White Flint
White Flint was a Washington Metro station in North Bethesda, Maryland, serving the Red Line and the nearby White Flint Mall area before being renamed.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802c3a4788190850294b054b9c928 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803baa4d48190941174246f533399 |
completed | March 28, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c80457cca08190a392b4efaa50a3f4 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.