Triple
T12530355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blake Bashoff |
E299544
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Eric Black
Eric Black is a fictional character portrayed by American actor Blake Bashoff, known from his work in television and film.
|
E986257
|
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: Eric Black | Statement: [Blake Bashoff, playedCharacter, Eric Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Black Context triple: [Blake Bashoff, playedCharacter, Eric Black]
-
A.
Eric Blackwood
Eric Blackwood was a Canadian aviation entrepreneur best known for establishing Eastern Provincial Airways, a regional airline that served Newfoundland and Atlantic Canada.
-
B.
Neil Black
Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
-
C.
Ken Blackwell
Ken Blackwell is a film editor known for his work on major action movies, including the 2010 film "The Expendables."
-
D.
Jerry Black
Jerry Black is the aging, obsessive former police detective in the crime drama "The Pledge," whose life unravels as he pursues a promise to catch a child’s killer.
-
E.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
- 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: Eric Black Triple: [Blake Bashoff, playedCharacter, Eric Black]
Generated description
Eric Black is a fictional character portrayed by American actor Blake Bashoff, known from his work in television and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Black Target entity description: Eric Black is a fictional character portrayed by American actor Blake Bashoff, known from his work in television and film.
-
A.
Eric Blackwood
Eric Blackwood was a Canadian aviation entrepreneur best known for establishing Eastern Provincial Airways, a regional airline that served Newfoundland and Atlantic Canada.
-
B.
Neil Black
Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
-
C.
Ken Blackwell
Ken Blackwell is a film editor known for his work on major action movies, including the 2010 film "The Expendables."
-
D.
Jerry Black
Jerry Black is the aging, obsessive former police detective in the crime drama "The Pledge," whose life unravels as he pursues a promise to catch a child’s killer.
-
E.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc674e881908673e1f9103cc8be |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c7d337c81909ee9ea52158a756f |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:57 p.m.