Triple
T18945339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Alden |
E463496
|
entity |
| Predicate | targetedBy |
P860
|
FINISHED |
| Object | Franklin Rood |
—
|
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: Franklin Rood | Statement: [Wendy Alden, targetedBy, Franklin Rood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin Rood Context triple: [Wendy Alden, targetedBy, Franklin Rood]
-
A.
Franklin Rood
chosen
Franklin Rood is the sadistic serial killer antagonist at the center of the 2012 horror film "Shiver."
-
B.
Franklin Keeler
Franklin Keeler was the founder of the Times Union newspaper.
-
C.
Franklin Sousley
Franklin Sousley was a United States Marine and one of the six flag raisers on Iwo Jima during World War II, whose story is prominently depicted in the film "Flags of Our Fathers."
-
D.
Franklin Hatchett
Franklin Hatchett is a fast-talking, streetwise hustler who becomes entangled in a high-stakes diamond heist and an unlikely partnership with a television news reporter.
-
E.
Gridley Bryant
Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53f6eb8819099b1268db8b14d66 |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.