Triple
T10538877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hornby Dock |
E248642
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Hugh Hornby
Hugh Hornby was a notable figure associated with maritime commerce and local development in the Liverpool area, after whom the Hornby Dock was named.
|
E869913
|
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: Hugh Hornby | Statement: [Hornby Dock, namedAfter, Hugh Hornby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Hornby Context triple: [Hornby Dock, namedAfter, Hugh Hornby]
-
A.
Danny Hornby
Danny Hornby is one of the children of British novelist and screenwriter Nick Hornby.
-
B.
J. J. Hornby
J. J. Hornby was a mountaineer known for making the first recorded ascent of the Alpine peak Monte Leone.
-
C.
Alan Hartley
Alan Hartley was a senior British Army officer who served as a prominent commander in British India during the era of the British Raj.
-
D.
Nicholas Beauman
Nicholas Beauman is a British editor and publisher known for championing and reissuing neglected literary works, particularly through the imprint Persephone Books.
-
E.
Harold Groves
Harold Groves was an American economist and politician known for his influential work on tax policy and public finance.
- 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: Hugh Hornby Triple: [Hornby Dock, namedAfter, Hugh Hornby]
Generated description
Hugh Hornby was a notable figure associated with maritime commerce and local development in the Liverpool area, after whom the Hornby Dock was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugh Hornby Target entity description: Hugh Hornby was a notable figure associated with maritime commerce and local development in the Liverpool area, after whom the Hornby Dock was named.
-
A.
Danny Hornby
Danny Hornby is one of the children of British novelist and screenwriter Nick Hornby.
-
B.
J. J. Hornby
J. J. Hornby was a mountaineer known for making the first recorded ascent of the Alpine peak Monte Leone.
-
C.
Alan Hartley
Alan Hartley was a senior British Army officer who served as a prominent commander in British India during the era of the British Raj.
-
D.
Nicholas Beauman
Nicholas Beauman is a British editor and publisher known for championing and reissuing neglected literary works, particularly through the imprint Persephone Books.
-
E.
Harold Groves
Harold Groves was an American economist and politician known for his influential work on tax policy and public finance.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5730d88190b266a940faf53f65 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e5b827881909e87651a88976f18 |
completed | April 10, 2026, 2:51 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:31 p.m.