Triple
T976483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Network |
E21063
|
entity |
| Predicate | hasEP |
P22078
|
FINISHED |
| Object |
Trans Am
Trans Am is an American band known for blending elements of rock, electronic, and experimental music into an innovative, genre-defying sound.
|
E114263
|
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: Trans Am | Statement: [The Network, hasEP, Trans Am]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trans Am Context triple: [The Network, hasEP, Trans Am]
-
A.
Revs
Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
B.
Hot Rod
Hot Rod is a 2007 comedy film starring Andy Samberg as an inept stuntman attempting a massive jump to earn money for his stepfather’s surgery.
-
C.
Tin Cup
Tin Cup is a 1996 romantic sports comedy film about a washed-up golf pro seeking redemption, best known for starring Kevin Costner.
-
D.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
E.
Gone in 60 Seconds
Gone in 60 Seconds is a high-octane heist film centered on a retired car thief forced to steal dozens of luxury vehicles in one night to save his brother’s life.
- 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: Trans Am Triple: [The Network, hasEP, Trans Am]
Generated description
Trans Am is an American band known for blending elements of rock, electronic, and experimental music into an innovative, genre-defying sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trans Am Target entity description: Trans Am is an American band known for blending elements of rock, electronic, and experimental music into an innovative, genre-defying sound.
-
A.
Revs
Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
B.
Hot Rod
Hot Rod is a 2007 comedy film starring Andy Samberg as an inept stuntman attempting a massive jump to earn money for his stepfather’s surgery.
-
C.
Tin Cup
Tin Cup is a 1996 romantic sports comedy film about a washed-up golf pro seeking redemption, best known for starring Kevin Costner.
-
D.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
E.
Gone in 60 Seconds
Gone in 60 Seconds is a high-octane heist film centered on a retired car thief forced to steal dozens of luxury vehicles in one night to save his brother’s life.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b75103688190a14342eef3842984 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170e8a008190a40001224f8dae2a |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac1787a9ac81908f032cd893d3efe8 |
completed | March 7, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1807aa388190ad2910966c9d1b04 |
completed | March 7, 2026, 12:20 p.m. |
Created at: March 1, 2026, 7:40 p.m.