Triple
T16842387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Zaltzman |
E409444
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Zaltzman
Zaltzman is a surname most notably associated with British comedian and satirist Andy Zaltzman.
|
E1237076
|
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: Zaltzman | Statement: [Andy Zaltzman, familyName, Zaltzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaltzman Context triple: [Andy Zaltzman, familyName, Zaltzman]
-
A.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
-
B.
Laffing Sal
Laffing Sal is a historic, animatronic laughing woman figure from early 20th-century amusement parks, now preserved as a popular attraction at San Francisco’s Musée Mécanique.
-
C.
Fizbo the Clown
Fizbo the Clown is the flamboyant clown persona and comedic alter ego of Cameron Tucker from the television series "Modern Family."
-
D.
John "Bluto" Blutarsky
John "Bluto" Blutarsky is the hard-partying, anarchic fraternity brother played by John Belushi in the comedy film *Animal House*.
-
E.
Elner Shimfissle
Elner Shimfissle is the quirky, big-hearted elderly protagonist of Fannie Flagg’s novel "Can’t Wait to Get to Heaven," known for her humor, wisdom, and knack for stirring up her small town.
- 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: Zaltzman Triple: [Andy Zaltzman, familyName, Zaltzman]
Generated description
Zaltzman is a surname most notably associated with British comedian and satirist Andy Zaltzman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaltzman Target entity description: Zaltzman is a surname most notably associated with British comedian and satirist Andy Zaltzman.
-
A.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
-
B.
Laffing Sal
Laffing Sal is a historic, animatronic laughing woman figure from early 20th-century amusement parks, now preserved as a popular attraction at San Francisco’s Musée Mécanique.
-
C.
Fizbo the Clown
Fizbo the Clown is the flamboyant clown persona and comedic alter ego of Cameron Tucker from the television series "Modern Family."
-
D.
John "Bluto" Blutarsky
John "Bluto" Blutarsky is the hard-partying, anarchic fraternity brother played by John Belushi in the comedy film *Animal House*.
-
E.
Elner Shimfissle
Elner Shimfissle is the quirky, big-hearted elderly protagonist of Fannie Flagg’s novel "Can’t Wait to Get to Heaven," known for her humor, wisdom, and knack for stirring up her small town.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb199168819080a9ddc7534f19a7 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bc22dc1c81909edc5cdb239f0ea8 |
completed | May 10, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bce879648190acbd5645cd1a4ec8 |
completed | May 10, 2026, 5:14 p.m. |
Created at: April 10, 2026, 5:24 a.m.