Triple
T20117733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beggar on Horseback |
E490510
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Mr. Cady
Mr. Cady is a character in the satirical play "Beggar on Horseback," representing the pressures and absurdities of commercialism in the arts.
|
E1411082
|
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: Mr. Cady | Statement: [Beggar on Horseback, hasCharacter, Mr. Cady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Cady Context triple: [Beggar on Horseback, hasCharacter, Mr. Cady]
-
A.
Dom Dwyer
Dom Dwyer is an English-born professional soccer player and forward who has played in Major League Soccer, notably for Sporting Kansas City and Orlando City SC.
-
B.
Mr. Dibiasky
Mr. Dibiasky is a supporting character in the film "Don't Look Up," known primarily as the father of astronomer Kate Dibiasky.
-
C.
Mr. McAllister
Mr. McAllister is a fictional teacher at the elite preparatory school Welton Academy in the film "Dead Poets Society."
-
D.
Andrew Cody
Andrew Cody is an individual known by the nickname "Pope," suggesting a distinctive or notable personal or public persona.
-
E.
Mr. Garrett
Mr. Garrett is a young librarian and the protagonist of M. R. James’s ghost story “The Tractate Middoth,” who becomes entangled in a sinister mystery involving an old book and a haunted inheritance.
- 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: Mr. Cady Triple: [Beggar on Horseback, hasCharacter, Mr. Cady]
Generated description
Mr. Cady is a character in the satirical play "Beggar on Horseback," representing the pressures and absurdities of commercialism in the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Cady Target entity description: Mr. Cady is a character in the satirical play "Beggar on Horseback," representing the pressures and absurdities of commercialism in the arts.
-
A.
Dom Dwyer
Dom Dwyer is an English-born professional soccer player and forward who has played in Major League Soccer, notably for Sporting Kansas City and Orlando City SC.
-
B.
Mr. Dibiasky
Mr. Dibiasky is a supporting character in the film "Don't Look Up," known primarily as the father of astronomer Kate Dibiasky.
-
C.
Mr. McAllister
Mr. McAllister is a fictional teacher at the elite preparatory school Welton Academy in the film "Dead Poets Society."
-
D.
Andrew Cody
Andrew Cody is an individual known by the nickname "Pope," suggesting a distinctive or notable personal or public persona.
-
E.
Mr. Garrett
Mr. Garrett is a young librarian and the protagonist of M. R. James’s ghost story “The Tractate Middoth,” who becomes entangled in a sinister mystery involving an old book and a haunted inheritance.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673ab4e08190b76ec742605e103b |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08271de03c81908f669f712ca1233a |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a08280f9e70819091682323b55ca855 |
completed | May 16, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08288d98fc8190a146f43a027682f0 |
completed | May 16, 2026, 8:19 a.m. |
Created at: April 11, 2026, 11:30 p.m.