Triple
T7755676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Taxi Boys |
E175889
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hot Spot
"Hot Spot" is a song by the Boston rock band The Taxi Boys.
|
E686554
|
NE FINISHED |
How this triple was built (4 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: Hot Spot | Statement: [The Taxi Boys, hasPart, Hot Spot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Spot Context triple: [The Taxi Boys, hasPart, Hot Spot]
-
A.
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.
-
B.
The Hot Spot
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.
-
C.
Hotspot
"Hotspot" is a 2020 synth-pop album by English duo Pet Shop Boys, noted for its reflective lyrics and production by Stuart Price.
-
D.
Hot Stove
Hot Stove is a Major League Baseball Network studio show that focuses on offseason news, trades, rumors, and analysis.
-
E.
Hot Stuff
"Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hot Spot Triple: [The Taxi Boys, hasPart, Hot Spot]
Generated description
"Hot Spot" is a song by the Boston rock band The Taxi Boys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hot Spot Target entity description: "Hot Spot" is a song by the Boston rock band The Taxi Boys.
-
A.
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.
-
B.
The Hot Spot
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.
-
C.
Hotspot
"Hotspot" is a 2020 synth-pop album by English duo Pet Shop Boys, noted for its reflective lyrics and production by Stuart Price.
-
D.
Hot Stove
Hot Stove is a Major League Baseball Network studio show that focuses on offseason news, trades, rumors, and analysis.
-
E.
Hot Stuff
"Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
- F. None of above. chosen
Provenance (5 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703d9d8fc8190b51faeb081ee425f |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be5dbf5881908d07d70c8ae061a5 |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bfc8256081908a6ae947d783f19f |
completed | March 29, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c02e7a548190b2c5ad84e4c3f1fb |
completed | March 29, 2026, 6:01 a.m. |
Created at: March 27, 2026, 4:08 p.m.