Triple
T10435568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villiers |
E246028
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Alan Villiers
Alan Villiers was an Australian-born author, photographer, and seafarer renowned for documenting and commanding traditional sailing ships in the early 20th century.
|
E864963
|
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: Alan Villiers | Statement: [Villiers, hasNotableBearer, Alan Villiers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Villiers Context triple: [Villiers, hasNotableBearer, Alan Villiers]
-
A.
Peter LeFanu Lumsdaine
Peter LeFanu Lumsdaine is a mathematician known for his work in category theory, type theory, and homotopy type theory.
-
B.
John Windsor
John Windsor was the engineer responsible for designing Dublin’s iconic cast-iron Ha'penny Bridge over the River Liffey.
-
C.
Robert Dukes
Robert Dukes is an author best known for writing the second installment of the "Bound" series.
-
D.
Lionel Chetwynd
Lionel Chetwynd is a Canadian-born screenwriter, producer, and director known for his work in film and television, often focusing on historical and political subjects.
-
E.
John Knightbridge
John Knightbridge was a benefactor whose legacy in moral philosophy is commemorated through a prestigious professorship at the University of Cambridge.
- 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: Alan Villiers Triple: [Villiers, hasNotableBearer, Alan Villiers]
Generated description
Alan Villiers was an Australian-born author, photographer, and seafarer renowned for documenting and commanding traditional sailing ships in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Villiers Target entity description: Alan Villiers was an Australian-born author, photographer, and seafarer renowned for documenting and commanding traditional sailing ships in the early 20th century.
-
A.
Peter LeFanu Lumsdaine
Peter LeFanu Lumsdaine is a mathematician known for his work in category theory, type theory, and homotopy type theory.
-
B.
John Windsor
John Windsor was the engineer responsible for designing Dublin’s iconic cast-iron Ha'penny Bridge over the River Liffey.
-
C.
Robert Dukes
Robert Dukes is an author best known for writing the second installment of the "Bound" series.
-
D.
Lionel Chetwynd
Lionel Chetwynd is a Canadian-born screenwriter, producer, and director known for his work in film and television, often focusing on historical and political subjects.
-
E.
John Knightbridge
John Knightbridge was a benefactor whose legacy in moral philosophy is commemorated through a prestigious professorship at the University of Cambridge.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea843f1c8190afca4a42bc364468 |
completed | April 7, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f98a2a0819093e029d940c59508 |
completed | April 10, 2026, 6:58 a.m. |
| NEDg | Description generation | batch_69d8a1656b348190ba932d03402d6a4d |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2b82bb48190899f37a967fef444 |
completed | April 10, 2026, 7:11 a.m. |
Created at: April 6, 2026, 12:14 p.m.