Triple
T4005647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Fitzwalter |
E89519
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fitzwalter
Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
|
E407500
|
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: Fitzwalter | Statement: [Robert Fitzwalter, familyName, Fitzwalter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fitzwalter Context triple: [Robert Fitzwalter, familyName, Fitzwalter]
-
A.
Mortimer
Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
-
B.
Nevill
Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
-
C.
Forge Fitzwilliam
Forge Fitzwilliam is a charming yet duplicitous conman and antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
D.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
E.
William of Hatfield
William of Hatfield was a short-lived English prince of the 14th century, one of the younger sons of King Edward III and Philippa of Hainault.
- 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: Fitzwalter Triple: [Robert Fitzwalter, familyName, Fitzwalter]
Generated description
Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fitzwalter Target entity description: Fitzwalter is an English noble family name historically associated with medieval barons and landholders.
-
A.
Mortimer
Mortimer is a village and civil parish in West Berkshire, England, known for its rural character and commuter links to nearby Reading.
-
B.
Nevill
Nevill is a given name most notably borne by British physicist and Nobel laureate Sir Nevill Mott.
-
C.
Forge Fitzwilliam
Forge Fitzwilliam is a charming yet duplicitous conman and antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
D.
Geoffrey
Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
-
E.
William of Hatfield
William of Hatfield was a short-lived English prince of the 14th century, one of the younger sons of King Edward III and Philippa of Hainault.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa60c500819084fcba785b2bf801 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c648d3c8190a85e5cdfb20f6044 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54cf3da208190aa844c9ea66354fe |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55159dc288190a63d5f5164b73bbb |
completed | March 14, 2026, 12:15 p.m. |
Created at: March 9, 2026, 3:34 p.m.