Triple
T19704170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DogVacay |
E473168
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Aaron Hirschhorn
Aaron Hirschhorn was an American entrepreneur best known as the founder of the pet-sitting marketplace DogVacay and later as an investor on “Shark Tank.”
|
E1453336
|
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: Aaron Hirschhorn | Statement: [DogVacay, foundedBy, Aaron Hirschhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Hirschhorn Context triple: [DogVacay, foundedBy, Aaron Hirschhorn]
-
A.
Nick Hirschkorn
Nick Hirschkorn is a film producer known for his work on international action-thrillers such as the 2012 movie "The Expatriate."
-
B.
David Hirsch
David Hirsch is known as the father of American actor Emile Hirsch.
-
C.
Nathan Zakheim
Nathan Zakheim is an American art conservator and historian known for preserving and documenting the New Deal–era murals of his father, Bernard Zakheim, and other public artworks.
-
D.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
-
E.
Albert Wolsky
Albert Wolsky is an acclaimed American costume designer known for his work on numerous prominent films and stage productions, earning multiple Academy Awards and industry honors.
- 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: Aaron Hirschhorn Triple: [DogVacay, foundedBy, Aaron Hirschhorn]
Generated description
Aaron Hirschhorn was an American entrepreneur best known as the founder of the pet-sitting marketplace DogVacay and later as an investor on “Shark Tank.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaron Hirschhorn Target entity description: Aaron Hirschhorn was an American entrepreneur best known as the founder of the pet-sitting marketplace DogVacay and later as an investor on “Shark Tank.”
-
A.
Nick Hirschkorn
Nick Hirschkorn is a film producer known for his work on international action-thrillers such as the 2012 movie "The Expatriate."
-
B.
David Hirsch
David Hirsch is known as the father of American actor Emile Hirsch.
-
C.
Nathan Zakheim
Nathan Zakheim is an American art conservator and historian known for preserving and documenting the New Deal–era murals of his father, Bernard Zakheim, and other public artworks.
-
D.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
-
E.
Albert Wolsky
Albert Wolsky is an acclaimed American costume designer known for his work on numerous prominent films and stage productions, earning multiple Academy Awards and industry honors.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b8707081908fbf96c989d2d52d |
completed | April 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090ae5beb48190a17cd9ea6c0ca0d0 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bdfa0d481909027f6d7c846a7d6 |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090c4534b481908079407989ba51f6 |
completed | May 17, 2026, 12:31 a.m. |
Created at: April 10, 2026, 1:46 p.m.