Triple
T20311166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Hardin |
E510245
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Hot Spot |
—
|
NE NERFINISHED |
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: The Hot Spot | Statement: [Jerry Hardin, notableWork, The Hot Spot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hot Spot Context triple: [Jerry Hardin, notableWork, The Hot Spot]
-
A.
The Hot Spot
chosen
The Hot Spot is a 1990 neo-noir thriller film directed by Dennis Hopper and starring Don Johnson, Virginia Madsen, and Jennifer Connelly, known for its sultry atmosphere and crime-driven plot in a small Texas town.
-
B.
Hot Spot
"Hot Spot" is a song by the Boston rock band The Taxi Boys.
-
C.
Hot Spot
"Hot Spot" is a prominent installation by artist Mona Hatoum featuring a glowing, neon-outlined globe that evokes themes of global conflict, instability, and surveillance.
-
D.
Hot Spot
Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
-
E.
That Heat
"That Heat" is a Latin-infused hip hop track by Common featuring will.i.am and Sérgio Mendes, known for its smooth groove and blend of rap with Brazilian rhythms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e677441f9c8190acf98dc92c77732b |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:19 a.m.