Triple
T15926758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home and Away |
E386223
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Alan Bateman
Alan Bateman was an Australian television producer and executive best known for creating the long-running soap opera "Home and Away."
|
E1196205
|
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: Alan Bateman | Statement: [Home and Away, creator, Alan Bateman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Bateman Context triple: [Home and Away, creator, Alan Bateman]
-
A.
Nick Bateman
Nick Bateman is a Canadian actor and model known for his roles in romantic films and his large social media following.
-
B.
Tom Bateman
Tom Bateman is a British actor known for his work in film, television, and theatre, including prominent roles in period dramas and crime mysteries.
-
C.
Kent Bateman
Kent Bateman is an American film and television producer, director, and actor, best known as the father of actor Jason Bateman and for his work in low-budget and independent productions.
-
D.
Michael John Bateman
Michael John Bateman is a film editor known for his work on the Western drama "Open Range."
-
E.
Russ Bates
Russ Bates is a scientific researcher known for co-authoring a 2021 study published in the journal Nature.
- 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: Alan Bateman Triple: [Home and Away, creator, Alan Bateman]
Generated description
Alan Bateman was an Australian television producer and executive best known for creating the long-running soap opera "Home and Away."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Bateman Target entity description: Alan Bateman was an Australian television producer and executive best known for creating the long-running soap opera "Home and Away."
-
A.
Nick Bateman
Nick Bateman is a Canadian actor and model known for his roles in romantic films and his large social media following.
-
B.
Tom Bateman
Tom Bateman is a British actor known for his work in film, television, and theatre, including prominent roles in period dramas and crime mysteries.
-
C.
Kent Bateman
Kent Bateman is an American film and television producer, director, and actor, best known as the father of actor Jason Bateman and for his work in low-budget and independent productions.
-
D.
Michael John Bateman
Michael John Bateman is a film editor known for his work on the Western drama "Open Range."
-
E.
Russ Bates
Russ Bates is a scientific researcher known for co-authoring a 2021 study published in the journal Nature.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff291a4308190bd5b45dfdb3a6b98 |
completed | May 10, 2026, 2:50 a.m. |
| NEDg | Description generation | batch_69fff35ded288190b4d261358f1661cb |
completed | May 10, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3f2760c8190a58fedc2798614ae |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 10, 2026, 4:52 a.m.