Triple
T3295032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Piven |
E69193
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Heat |
E174842
|
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: Heat | Statement: [Jeremy Piven, actedIn, Heat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heat Context triple: [Jeremy Piven, actedIn, Heat]
-
A.
Heat
chosen
Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
-
B.
Heat Waves
"Heat Waves" is a hit song by the English indie rock band Glass Animals, known for its mellow, atmospheric sound and widespread chart success.
-
C.
HEATCHECK
HEATCHECK is the abbreviated competitive moniker used by the NBA 2K League team Heat Check Gaming.
-
D.
Thermal
Thermal is an unincorporated community in California’s Coachella Valley, known for its desert climate and proximity to agricultural and resort areas.
-
E.
Heat Wave
"Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07661748190bf57469e101c5283 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d35c448190a4ca50ae31639e65 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.