Triple
T19358986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hart to Hart |
E484225
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Jonathan Hart
Jonathan Hart is the wealthy, adventurous industrialist and amateur sleuth protagonist of the television series "Hart to Hart."
|
E1371688
|
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: Jonathan Hart | Statement: [Hart to Hart, character, Jonathan Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Hart Context triple: [Hart to Hart, character, Jonathan Hart]
-
A.
Jonathan Harris
Jonathan Harris was an American character actor best known for his flamboyant role as Dr. Zachary Smith on the TV series "Lost in Space" and for his distinctive voice work in animation.
-
B.
Jon Harris
Jon Harris is a film editor known for his work on major feature films such as "127 Hours," "The Descent," and "Gravity."
-
C.
Jason Hervey
Jason Hervey is an American actor and producer best known for playing Wayne Arnold, the older brother on the classic coming-of-age TV series "The Wonder Years."
-
D.
Luke Rivett
Luke Rivett is a television producer best known for serving as an executive producer on the espionage drama series "Berlin Station."
-
E.
Steve Hartnett
Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
- 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: Jonathan Hart Triple: [Hart to Hart, character, Jonathan Hart]
Generated description
Jonathan Hart is the wealthy, adventurous industrialist and amateur sleuth protagonist of the television series "Hart to Hart."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan Hart Target entity description: Jonathan Hart is the wealthy, adventurous industrialist and amateur sleuth protagonist of the television series "Hart to Hart."
-
A.
Jonathan Harris
Jonathan Harris was an American character actor best known for his flamboyant role as Dr. Zachary Smith on the TV series "Lost in Space" and for his distinctive voice work in animation.
-
B.
Jon Harris
Jon Harris is a film editor known for his work on major feature films such as "127 Hours," "The Descent," and "Gravity."
-
C.
Jason Hervey
Jason Hervey is an American actor and producer best known for playing Wayne Arnold, the older brother on the classic coming-of-age TV series "The Wonder Years."
-
D.
Luke Rivett
Luke Rivett is a television producer best known for serving as an executive producer on the espionage drama series "Berlin Station."
-
E.
Steve Hartnett
Steve Hartnett is an individual notable enough to be specifically cited as a bearer of the surname Hartnett.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190b343c81909734ba776fd196dc |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07240dacb881909a8acdb5dab42115 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07253d53488190a25b4c65c93e70d7 |
completed | May 15, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072657035881909c63391b274063e1 |
completed | May 15, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:34 p.m.