Triple
T10361110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Bill |
E244133
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Peter Bill
Peter Bill is the son of American film producer, director, and actor Tony Bill.
|
E858673
|
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: Peter Bill | Statement: [Tony Bill, hasChild, Peter Bill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Bill Context triple: [Tony Bill, hasChild, Peter Bill]
-
A.
Peter Vincent
Peter Vincent is a Las Vegas magician and self-styled vampire expert who becomes an unlikely ally against a real vampire threat in the 2011 horror-comedy film "Fright Night."
-
B.
Bob Bartlett
Bob Bartlett was a prominent Alaskan political leader and advocate for statehood who became one of Alaska’s first U.S. senators.
-
C.
Stephen Peters
Stephen Peters is an American screenwriter best known for writing the neo-noir thriller film "Wild Things."
-
D.
Peter Howard
Peter Howard was a prominent American musical theatre orchestrator and dance music arranger known for his work on numerous Broadway productions.
-
E.
Peter Byrne
Peter Byrne was a British actor best known for his long-running role as Andy Crawford in the classic television police series "Dixon of Dock Green."
- 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: Peter Bill Triple: [Tony Bill, hasChild, Peter Bill]
Generated description
Peter Bill is the son of American film producer, director, and actor Tony Bill.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Bill Target entity description: Peter Bill is the son of American film producer, director, and actor Tony Bill.
-
A.
Peter Vincent
Peter Vincent is a Las Vegas magician and self-styled vampire expert who becomes an unlikely ally against a real vampire threat in the 2011 horror-comedy film "Fright Night."
-
B.
Bob Bartlett
Bob Bartlett was a prominent Alaskan political leader and advocate for statehood who became one of Alaska’s first U.S. senators.
-
C.
Stephen Peters
Stephen Peters is an American screenwriter best known for writing the neo-noir thriller film "Wild Things."
-
D.
Peter Howard
Peter Howard was a prominent American musical theatre orchestrator and dance music arranger known for his work on numerous Broadway productions.
-
E.
Peter Byrne
Peter Byrne was a British actor best known for his long-running role as Andy Crawford in the classic television police series "Dixon of Dock Green."
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96209548190957368ee8c6a9ec3 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b6ef248190bdbe16bbb8efcf88 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618ecb748190a492406eabe590d7 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77057affc8190b420e66560c3dfbd |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:59 a.m.