Triple
T15297061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Heat |
E365687
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Java Heat |
E365687
|
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: Java Heat | Statement: [Java Heat, title, Java Heat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Java Heat Context triple: [Java Heat, title, Java Heat]
-
A.
Java Heat
chosen
Java Heat is a 2013 action-thriller film set in Indonesia that follows an American agent teaming up with a local detective to stop a terrorist plot.
-
B.
Steam Heat
"Steam Heat" is a famous show tune from the Broadway musical *The Pajama Game*, known for its jazzy style and iconic Bob Fosse choreography.
-
C.
Hot2Touch
"Hot2Touch" is a popular tropical house track by German DJ and producer Felix Jaehn, known for its upbeat, summery vibe and catchy vocal hooks.
-
D.
HEATCHECK
HEATCHECK is the abbreviated competitive moniker used by the NBA 2K League team Heat Check Gaming.
-
E.
Termal
Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef82f6d08190b809260dda247dfe |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.