Triple
T15452334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trustfall |
E371682
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Turbulence |
E703976
|
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: Turbulence | Statement: [Trustfall, hasPart, Turbulence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turbulence Context triple: [Trustfall, hasPart, Turbulence]
-
A.
Turbulence
chosen
Turbulence is a superhero science fiction novel by Indian author Samit Basu that explores how ordinary people around the world cope with suddenly gaining extraordinary powers.
-
B.
Turbulence
"Turbulence" is a hip-hop track by U-God featured on his debut solo album "Golden Arms Redemption."
-
C.
World Tourbulence
World Tourbulence was a concert tour by progressive metal band Dream Theater in support of their early-2000s studio work, showcasing their complex, virtuosic live performances around the world.
-
D.
L’Infini turbulent
L’Infini turbulent is a visionary prose work by Belgian-born French writer Henri Michaux, exploring altered states of consciousness and inner landscapes inspired by his experiments with hallucinogenic drugs.
-
E.
Whirlwinds
Whirlwinds is a water slide attraction located within the Splash Works water park.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b3c5a481908057e94fd84f3cfc |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.