Triple
T16325691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wearmouth Bridge |
E396410
|
entity |
| Predicate | originalBridgeDesigner |
P184
|
FINISHED |
| Object |
Rowland Burdon
Rowland Burdon was an English politician and landowner noted for his role in financing and promoting the construction of the original Wearmouth Bridge in Sunderland.
|
E1207599
|
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: Rowland Burdon | Statement: [Wearmouth Bridge, originalBridgeDesigner, Rowland Burdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowland Burdon Context triple: [Wearmouth Bridge, originalBridgeDesigner, Rowland Burdon]
-
A.
Roland Burton
Roland Burton is a central character on the television drama "Army Wives," known as a psychiatrist and one of the few male military spouses portrayed on the show.
-
B.
Errol Wetson
Errol Wetson is an American restaurateur best known as the former husband of model and actress Margaux Hemingway.
-
C.
Frank Gordon
Frank Gordon was the father of renowned American jazz saxophonist Dexter Gordon.
-
D.
Will Robinson
Will Robinson is the young, resourceful son of the Robinson family and a central protagonist in the science fiction adventure series "Lost in Space."
-
E.
Errol
Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
- 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: Rowland Burdon Triple: [Wearmouth Bridge, originalBridgeDesigner, Rowland Burdon]
Generated description
Rowland Burdon was an English politician and landowner noted for his role in financing and promoting the construction of the original Wearmouth Bridge in Sunderland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rowland Burdon Target entity description: Rowland Burdon was an English politician and landowner noted for his role in financing and promoting the construction of the original Wearmouth Bridge in Sunderland.
-
A.
Roland Burton
Roland Burton is a central character on the television drama "Army Wives," known as a psychiatrist and one of the few male military spouses portrayed on the show.
-
B.
Errol Wetson
Errol Wetson is an American restaurateur best known as the former husband of model and actress Margaux Hemingway.
-
C.
Frank Gordon
Frank Gordon was the father of renowned American jazz saxophonist Dexter Gordon.
-
D.
Will Robinson
Will Robinson is the young, resourceful son of the Robinson family and a central protagonist in the science fiction adventure series "Lost in Space."
-
E.
Errol
Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b9dcb88190beb0ca2206729175 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0027a095508190b7c6fd56af289e7b |
completed | May 10, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00282d9b0c81908031404c41b3baa5 |
completed | May 10, 2026, 6:39 a.m. |
Created at: April 10, 2026, 5:06 a.m.