Triple
T18092655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street-Legal |
E433009
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
New Pony
New Pony is a component or feature of the Street-Legal project, likely referring to a specific module, track, or creative element within that work.
|
E1304915
|
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: New Pony | Statement: [Street-Legal, hasPart, New Pony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Pony Context triple: [Street-Legal, hasPart, New Pony]
-
A.
Pony
"Pony" is a 1996 R&B single by Ginuwine, produced by Timbaland, known for its distinctive bassline and sensual lyrics that became a defining hit of late-1990s R&B.
-
B.
Pony
"Pony" is a popular country song by Australian singer-songwriter Kasey Chambers, known for its catchy melody and heartfelt lyrics.
-
C.
Side Pony
"Side Pony" is a 2016 soul-pop album by Lake Street Dive that showcases the band's retro-inspired sound, tight musicianship, and charismatic vocals.
-
D.
Pony Up
Pony Up is a coffee blend produced by the Canadian specialty roaster Kicking Horse Coffee.
-
E.
Pony Excess
Pony Excess is an ESPN 30 for 30 documentary chronicling the rise, scandal, and NCAA "death penalty" of Southern Methodist University’s football program in the 1980s.
- 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: New Pony Triple: [Street-Legal, hasPart, New Pony]
Generated description
New Pony is a component or feature of the Street-Legal project, likely referring to a specific module, track, or creative element within that work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: New Pony Target entity description: New Pony is a component or feature of the Street-Legal project, likely referring to a specific module, track, or creative element within that work.
-
A.
Pony
"Pony" is a 1996 R&B single by Ginuwine, produced by Timbaland, known for its distinctive bassline and sensual lyrics that became a defining hit of late-1990s R&B.
-
B.
Pony
"Pony" is a popular country song by Australian singer-songwriter Kasey Chambers, known for its catchy melody and heartfelt lyrics.
-
C.
Side Pony
"Side Pony" is a 2016 soul-pop album by Lake Street Dive that showcases the band's retro-inspired sound, tight musicianship, and charismatic vocals.
-
D.
Pony Up
Pony Up is a coffee blend produced by the Canadian specialty roaster Kicking Horse Coffee.
-
E.
Pony Excess
Pony Excess is an ESPN 30 for 30 documentary chronicling the rise, scandal, and NCAA "death penalty" of Southern Methodist University’s football program in the 1980s.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d9b6d248190964ffe6cfb19b2d8 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036a7c0d9881909750358cfd270cf5 |
completed | May 12, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036af992b48190854e40c1e8acdb0b |
completed | May 12, 2026, 6:01 p.m. |
Created at: April 10, 2026, 10:27 a.m.