Triple
T10971983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Williamson |
E259261
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | The Following |
E356039
|
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: The Following | Statement: [Kevin Williamson, created, The Following]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Following Context triple: [Kevin Williamson, created, The Following]
-
A.
The Following
chosen
The Following is an American psychological thriller television series about an FBI agent pursuing a charismatic serial killer who commands a cult of devoted followers.
-
B.
It Follows
It Follows is a 2014 supernatural horror film about a young woman pursued by a relentless, shape-shifting entity after a sexual encounter, acclaimed for its atmospheric tension and allegorical themes.
-
C.
The Hurt Inside
"The Hurt Inside" is a song featured on the Weeknd's critically acclaimed 2020 album "After Hours."
-
D.
You’re Next
"You’re Next" is a 2011 home-invasion horror film known for its dark humor, inventive kills, and twist on the final-girl trope.
-
E.
Quantico
Quantico is a small town in Prince William County, Virginia, best known for hosting the Marine Corps Base Quantico and several major U.S. federal law enforcement training facilities.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719b5edc81908c1019f81e78bd2e |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344a2130081908d9d22ee84890925 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:24 p.m.