Triple
T10493779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blow Out |
E247482
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Peter Boyden
Peter Boyden is an actor known for appearing in the 1981 thriller film "Blow Out."
|
E867697
|
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 Boyden | Statement: [Blow Out, hasCastMember, Peter Boyden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Boyden Context triple: [Blow Out, hasCastMember, Peter Boyden]
-
A.
Peter Bowker
Peter Bowker is a British television and film screenwriter known for creating and writing acclaimed dramas such as "Blackpool," "Occupation," and "World on Fire."
-
B.
Peter Dougherty
Peter Dougherty was a television producer and director best known for co-creating and shaping the influential hip-hop music video program "Yo! MTV Raps."
-
C.
Paul Reynolds
Paul Reynolds is a New Zealand politician and former chief executive of Telecom New Zealand, known for leading the company through major structural and technological changes.
-
D.
Paul Millspaugh
Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
-
E.
Keith Peters
Keith Peters is a prominent British physician and medical researcher known for his leadership in academic medicine and contributions to immunology and medical science policy.
- 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 Boyden Triple: [Blow Out, hasCastMember, Peter Boyden]
Generated description
Peter Boyden is an actor known for appearing in the 1981 thriller film "Blow Out."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Boyden Target entity description: Peter Boyden is an actor known for appearing in the 1981 thriller film "Blow Out."
-
A.
Peter Bowker
Peter Bowker is a British television and film screenwriter known for creating and writing acclaimed dramas such as "Blackpool," "Occupation," and "World on Fire."
-
B.
Peter Dougherty
Peter Dougherty was a television producer and director best known for co-creating and shaping the influential hip-hop music video program "Yo! MTV Raps."
-
C.
Paul Reynolds
Paul Reynolds is a New Zealand politician and former chief executive of Telecom New Zealand, known for leading the company through major structural and technological changes.
-
D.
Paul Millspaugh
Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
-
E.
Keith Peters
Keith Peters is a prominent British physician and medical researcher known for his leadership in academic medicine and contributions to immunology and medical science policy.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcaeb6088190829b6c26eb1de7d5 |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c8e360819085376d4c4ea9712d |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.