Triple
T14129225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbie Cornish |
E340116
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Geostorm |
E457322
|
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: Geostorm | Statement: [Abbie Cornish, notableWork, Geostorm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geostorm Context triple: [Abbie Cornish, notableWork, Geostorm]
-
A.
Geostorm
chosen
Geostorm is a 2017 science fiction disaster film about a malfunctioning climate-controlling satellite system that triggers catastrophic global weather events.
-
B.
Brianstorm
"Brianstorm" is a fast-paced, riff-driven rock track by Arctic Monkeys known for its frenetic energy and sharp, enigmatic lyrics.
-
C.
The Day After Tomorrow
The Day After Tomorrow is a 2004 science-fiction disaster film depicting catastrophic climate change and a sudden new ice age triggered by global warming.
-
D.
Mission of Gravity
Mission of Gravity is a classic hard science fiction novel by Hal Clement, renowned for its detailed depiction of an extreme high-gravity world and the alien life adapted to it.
-
E.
Tempesto
Tempesto is a launched steel roller coaster at Busch Gardens Williamsburg known for its high-speed twists, inversions, and compact, looping track layout.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0ed0a88190a7126887364fccdd |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:23 p.m.