Triple
T19648052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelda Fuller |
E471731
|
entity |
| Predicate | defies |
P437
|
FINISHED |
| Object | Richard Strickland |
—
|
NE NERFINISHED |
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: Richard Strickland | Statement: [Zelda Fuller, defies, Richard Strickland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Strickland Context triple: [Zelda Fuller, defies, Richard Strickland]
-
A.
Richard Strickland
chosen
Richard Strickland is the primary antagonist in Guillermo del Toro's film "The Shape of Water," a cruel government agent whose brutality and obsession drive much of the story's conflict.
-
B.
Richard Strout
Richard Strout is a central character in the film "In the Bedroom," whose violent actions drive the story’s tragic conflict.
-
C.
William Strickler
William Strickler was a roller coaster designer and builder known for constructing classic wooden coasters such as the Big Dipper at Blackpool Pleasure Beach.
-
D.
Robert Strickland
Robert Strickland is a personal name shared by multiple individuals across various fields, including politics, business, and the arts.
-
E.
John Strickland
John Strickland is a British television director known for his work on series such as "Bodyguard," "Line of Duty," and other high-profile dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.