Triple
T15524497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Flags Over Georgia |
E369047
|
entity |
| Predicate | hasSeasonalEvent |
P3113
|
FINISHED |
| Object | Fright Fest |
E176228
|
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: Fright Fest | Statement: [Six Flags Over Georgia, hasSeasonalEvent, Fright Fest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fright Fest Context triple: [Six Flags Over Georgia, hasSeasonalEvent, Fright Fest]
-
A.
Fright Fest
chosen
Fright Fest is Six Flags’ annual Halloween-themed event featuring haunted attractions, scare zones, and seasonal entertainment.
-
B.
Fright Nights
Fright Nights is an annual Halloween-themed after-hours event at Warner Bros. Movie World featuring horror mazes, scare zones, and live entertainment.
-
C.
Fright Nights
Fright Nights is Thorpe Park’s annual Halloween-themed event featuring horror mazes, scare zones, and live entertainment.
-
D.
31 Nights of Halloween
31 Nights of Halloween is Freeform’s annual month-long programming event featuring Halloween-themed movies, specials, and family-friendly spooky content.
-
E.
Dare to Be Scared
Dare to Be Scared is a children's horror short story collection by Robert D. San Souci known for its spooky, suspenseful tales and twist endings.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5706948190a1c0f466f7ef8857 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:05 a.m.