Triple
T15709980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dewey Riley |
E380812
|
entity |
| Predicate | homeTown |
P5864
|
FINISHED |
| Object | Woodsboro |
E380814
|
NE 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: Woodsboro | Statement: [Dewey Riley, homeTown, Woodsboro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodsboro Context triple: [Dewey Riley, homeTown, Woodsboro]
-
A.
Woodsboro
chosen
Woodsboro is the fictional small town that serves as the primary setting for much of the Scream horror film franchise.
-
B.
Haddonfield
Haddonfield is a historic suburban borough in Camden County, New Jersey, known for its charming downtown, colonial-era architecture, and strong community character.
-
C.
Plainville
Plainville is a small suburban town in central Connecticut, known for its residential character and proximity to the city of Hartford.
-
D.
Clayburgh
Clayburgh is a surname most notably associated with American actress Jill Clayburgh, known for her acclaimed film and stage performances in the 1970s and 1980s.
-
E.
Murphyville
Murphyville was the original name of Alpine, a small city in West Texas known as a gateway to the Big Bend region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8d8b648190842c635f2ae7bfa4 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87657528819098880c84f7cb1610 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:45 a.m.