Triple
T22081305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story Girl |
E545654
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Dan King
Dan King is a fictional character from L. M. Montgomery’s novel "The Story Girl," one of the King cousins who share in the book’s nostalgic Prince Edward Island adventures.
|
E1516683
|
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: Dan King | Statement: [The Story Girl, featuresCharacter, Dan King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan King Context triple: [The Story Girl, featuresCharacter, Dan King]
-
A.
Dave King
Dave King was an English comedian, singer, and character actor known for his work in film and television from the 1950s onward.
-
B.
Ken King
Ken King is an actor known for his role in the film "Jade."
-
C.
Ken King
Ken King is a notable individual who bears the surname King, recognized for his public prominence in his respective field.
-
D.
Sean King
Sean King is a former Secret Service agent turned private investigator who co-stars as one of the main protagonists in David Baldacci’s King & Maxwell thriller series.
-
E.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
- 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: Dan King Triple: [The Story Girl, featuresCharacter, Dan King]
Generated description
Dan King is a fictional character from L. M. Montgomery’s novel "The Story Girl," one of the King cousins who share in the book’s nostalgic Prince Edward Island adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan King Target entity description: Dan King is a fictional character from L. M. Montgomery’s novel "The Story Girl," one of the King cousins who share in the book’s nostalgic Prince Edward Island adventures.
-
A.
Dave King
Dave King was an English comedian, singer, and character actor known for his work in film and television from the 1950s onward.
-
B.
Ken King
Ken King is an actor known for his role in the film "Jade."
-
C.
Ken King
Ken King is a notable individual who bears the surname King, recognized for his public prominence in his respective field.
-
D.
Sean King
Sean King is a former Secret Service agent turned private investigator who co-stars as one of the main protagonists in David Baldacci’s King & Maxwell thriller series.
-
E.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b6338481908e6bb0187cdd42af |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80bb65fc8190a224994ef7ab50d1 |
completed | May 18, 2026, 3 a.m. |
| NEDg | Description generation | batch_6a0a81c335e08190ae941d7ebce6688e |
completed | May 18, 2026, 3:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a828694988190bf07e1b649a109f3 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 8:28 p.m.