Triple
T19727434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dekker |
E473763
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ted Dekker
Ted Dekker is a bestselling Christian fiction and thriller author known for suspenseful novels that often explore spiritual themes and the battle between good and evil.
|
E1392885
|
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: Ted Dekker | Statement: [Dekker, hasNotableBearer, Ted Dekker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Dekker Context triple: [Dekker, hasNotableBearer, Ted Dekker]
-
A.
Jack Carr
Jack Carr is an actor known for his role in the film "Hellgate."
-
B.
Jason Hall
Jason Hall is an American screenwriter and director best known for writing the acclaimed war drama film "American Sniper."
-
C.
Max Brooks
Max Brooks is an American author and screenwriter best known for his zombie-themed works such as "World War Z" and "The Zombie Survival Guide."
-
D.
Mark Greaney
Mark Greaney is an American novelist best known for creating the Gray Man thriller series and for co-authoring several Jack Ryan novels in Tom Clancy’s universe.
-
E.
Ned Cronin
Ned Cronin was an Irish army officer and political figure best known for leading the Army Comrades Association, a right-wing veterans’ organization in 1930s Ireland.
- 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: Ted Dekker Triple: [Dekker, hasNotableBearer, Ted Dekker]
Generated description
Ted Dekker is a bestselling Christian fiction and thriller author known for suspenseful novels that often explore spiritual themes and the battle between good and evil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Dekker Target entity description: Ted Dekker is a bestselling Christian fiction and thriller author known for suspenseful novels that often explore spiritual themes and the battle between good and evil.
-
A.
Jack Carr
Jack Carr is an actor known for his role in the film "Hellgate."
-
B.
Jason Hall
Jason Hall is an American screenwriter and director best known for writing the acclaimed war drama film "American Sniper."
-
C.
Max Brooks
Max Brooks is an American author and screenwriter best known for his zombie-themed works such as "World War Z" and "The Zombie Survival Guide."
-
D.
Mark Greaney
Mark Greaney is an American novelist best known for creating the Gray Man thriller series and for co-authoring several Jack Ryan novels in Tom Clancy’s universe.
-
E.
Ned Cronin
Ned Cronin was an Irish army officer and political figure best known for leading the Army Comrades Association, a right-wing veterans’ organization in 1930s Ireland.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f95d5c8190858ba414ff3e95a8 |
completed | April 20, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f0728881909ccadf9e738e371c |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b5e9961881908f224154ec12c366 |
completed | May 16, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b67964b481909af269c6b5db6527 |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 1:47 p.m.