Triple
T9723545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Davies |
E235542
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Harrisburg Houdini
Harrisburg Houdini is the nickname of Bob Davies, a Hall of Fame American basketball guard renowned for his exceptional ball-handling and playmaking skills.
|
E816207
|
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: Harrisburg Houdini | Statement: [Bob Davies, nickname, Harrisburg Houdini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrisburg Houdini Context triple: [Bob Davies, nickname, Harrisburg Houdini]
-
A.
Selig
Selig is a surname most prominently associated with Allan H. "Bud" Selig, the former Commissioner of Major League Baseball.
-
B.
Herman Teppis
Herman Teppis is the central figure in Norman Mailer’s novel "The Deer Park," around whom the book’s exploration of postwar American decadence and moral ambiguity revolves.
-
C.
Harvey
Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
-
D.
Harvey
Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
-
E.
Harvey
Harvey is a rural town in the South West of Western Australia known for its agriculture, dairy production, and citrus orchards.
- 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: Harrisburg Houdini Triple: [Bob Davies, nickname, Harrisburg Houdini]
Generated description
Harrisburg Houdini is the nickname of Bob Davies, a Hall of Fame American basketball guard renowned for his exceptional ball-handling and playmaking skills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harrisburg Houdini Target entity description: Harrisburg Houdini is the nickname of Bob Davies, a Hall of Fame American basketball guard renowned for his exceptional ball-handling and playmaking skills.
-
A.
Selig
Selig is a surname most prominently associated with Allan H. "Bud" Selig, the former Commissioner of Major League Baseball.
-
B.
Herman Teppis
Herman Teppis is the central figure in Norman Mailer’s novel "The Deer Park," around whom the book’s exploration of postwar American decadence and moral ambiguity revolves.
-
C.
Harvey
Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
-
D.
Harvey
Harvey is a masculine given name of Old English origin meaning "battle worthy" or "strong in battle."
-
E.
Harvey
Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e77096481908ffd315fecb1d5ec |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fa5a8e48190b7b1742eb6c3b81e |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a022efd48190b0206bbdf3d93b9e |
completed | April 4, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a09ae5b48190b4d0b01cd20ba140 |
completed | April 4, 2026, 11:36 p.m. |
Created at: March 30, 2026, 8:20 p.m.