Triple
T15261966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Field |
E364798
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Twister |
E382294
|
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: Twister | Statement: [Todd Field, actedIn, Twister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twister Context triple: [Todd Field, actedIn, Twister]
-
A.
Twister
"Twister" is a song from Mariah Carey's 2001 album *Glitter*, reflecting on loss and emotional vulnerability.
-
B.
Twister
Twister is a wooden roller coaster located at the Gröna Lund amusement park in Stockholm, Sweden.
-
C.
Twister
chosen
Twister is a 1996 disaster film about storm chasers pursuing powerful tornadoes, noted for its groundbreaking special effects and starring Bill Paxton and Helen Hunt.
-
D.
Twister
Twister is the official mascot of the Cincinnati Cyclones minor league ice hockey team, known for entertaining fans at games and community events.
-
E.
Mister Twister
Mister Twister is a satirical narrative poem by Soviet writer Samuil Marshak that critiques American bourgeois prejudice and racism through the story of a wealthy tourist visiting Leningrad.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fb8b30819096d31ba5884715c9 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:14 a.m.