Triple
T13891732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Canty |
E333987
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object |
John Hobbs
John Hobbs is the alias used by the character John Canty in Mark Twain’s novel "The Prince and the Pauper."
|
E1069141
|
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: John Hobbs | Statement: [John Canty, alias, John Hobbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hobbs Context triple: [John Canty, alias, John Hobbs]
-
A.
Walter Hobbs
Walter Hobbs is the work-obsessed children's book publisher and estranged father of Buddy in the Christmas comedy film "Elf."
-
B.
Michael Hobbs
Michael Hobbs is the skeptical, work-focused human son of Walter Hobbs in the film "Elf," who gradually comes to believe in and embrace Buddy the Elf as his brother.
-
C.
David Hobbs
David Hobbs is a former British racing driver and motorsport commentator who voiced a character in the animated film "Cars 2."
-
D.
Howard Bannister
Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
-
E.
Frank Richards
Frank Richards was a British soldier and memoirist best known for his vivid first-hand accounts of World War I service in the Royal Welch Fusiliers.
- 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: John Hobbs Triple: [John Canty, alias, John Hobbs]
Generated description
John Hobbs is the alias used by the character John Canty in Mark Twain’s novel "The Prince and the Pauper."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Hobbs Target entity description: John Hobbs is the alias used by the character John Canty in Mark Twain’s novel "The Prince and the Pauper."
-
A.
Walter Hobbs
Walter Hobbs is the work-obsessed children's book publisher and estranged father of Buddy in the Christmas comedy film "Elf."
-
B.
Michael Hobbs
Michael Hobbs is the skeptical, work-focused human son of Walter Hobbs in the film "Elf," who gradually comes to believe in and embrace Buddy the Elf as his brother.
-
C.
David Hobbs
David Hobbs is a former British racing driver and motorsport commentator who voiced a character in the animated film "Cars 2."
-
D.
Howard Bannister
Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
-
E.
Frank Richards
Frank Richards was a British soldier and memoirist best known for his vivid first-hand accounts of World War I service in the Royal Welch Fusiliers.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a537d4819093c2bae2a244816a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce71dcd481908f732542dfb1c3e3 |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f7cf37cd7c81908f4da2495403bc6c |
completed | May 3, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cfee80a881909de648b20043bf6d |
completed | May 3, 2026, 10:45 p.m. |
Created at: April 9, 2026, 10:15 p.m.