Triple
T26173506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Richard H. Thorndyke |
E654473
|
entity |
| Predicate | parodiesStyleOf |
P10352
|
FINISHED |
| Object | Alfred Hitchcock thrillers |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Alfred Hitchcock thrillers | Statement: [Dr. Richard H. Thorndyke, parodiesStyleOf, Alfred Hitchcock thrillers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parodiesStyleOf Context triple: [Dr. Richard H. Thorndyke, parodiesStyleOf, Alfred Hitchcock thrillers]
-
A.
parodies
chosen
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
B.
originalHitPerformerParodied
Indicates that the subject is the original performer of a hit work that is being parodied by the object.
-
C.
originalSongwriterParodied
Indicates that one entity is the songwriter of an original song that is parodied by another entity.
-
D.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
-
E.
playsInStyleOf
Indicates that one entity performs, creates, or behaves in a manner characteristic of another entity’s style.
- F. None of above.
Provenance (3 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:36 p.m.