Triple
T9473364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Chbosky |
E228449
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Stephen
Stephen is the given name of American novelist, screenwriter, and film director Stephen Chbosky, best known for writing "The Perks of Being a Wallflower."
|
E800797
|
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: Stephen | Statement: [Stephen Chbosky, givenName, Stephen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Context triple: [Stephen Chbosky, givenName, Stephen]
-
A.
Stephen
Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
-
B.
Stephen
Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
-
C.
Stephen
Stephen is the full given name of former Scottish footballer and manager Steve Nicol, best known for his successful career with Liverpool FC in the 1980s and early 1990s.
-
D.
Stephen
Stephen is the first name of English former footballer and manager Steve Coppell.
-
E.
Stephen
Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
- 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: Stephen Triple: [Stephen Chbosky, givenName, Stephen]
Generated description
Stephen is the given name of American novelist, screenwriter, and film director Stephen Chbosky, best known for writing "The Perks of Being a Wallflower."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Target entity description: Stephen is the given name of American novelist, screenwriter, and film director Stephen Chbosky, best known for writing "The Perks of Being a Wallflower."
-
A.
Stephen
Stephen is the given name of Stephen R. Covey, the influential American educator, author, and leadership expert best known for writing "The 7 Habits of Highly Effective People."
-
B.
Stephen
Stephen is the given name of Stephen Strasburg, an American professional baseball pitcher known for his career with the Washington Nationals.
-
C.
Stephen
Stephen is the given name of Stephen Jay Gould, the influential American paleontologist, evolutionary biologist, and science writer.
-
D.
Stephen
Stephen is the given name of Stephen G. Breyer, an American jurist and former Associate Justice of the U.S. Supreme Court.
-
E.
Stephen
Stephen is the given first name of Steve Case, the American entrepreneur and co-founder of AOL.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff0afd08190871b68a88fdbff2b |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12268429c8190bf2fd0f3ea4dac4a |
completed | April 4, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69d1235eccb88190943355bdc4e3a873 |
completed | April 4, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123e548e88190a85c8b3822879b72 |
completed | April 4, 2026, 2:44 p.m. |
Created at: March 30, 2026, 7:54 p.m.