Triple
T5351443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Byrds |
E102587
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
The Jet Set
The Jet Set was an early name used by the American rock band The Byrds before they achieved fame in the mid-1960s.
|
E513995
|
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: The Jet Set | Statement: [The Byrds, alsoKnownAs, The Jet Set]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Jet Set Context triple: [The Byrds, alsoKnownAs, The Jet Set]
-
A.
G-Force
G-Force is a 2009 live-action/CGI family action-comedy film about a team of highly trained secret agent guinea pigs, produced by Jerry Bruckheimer.
-
B.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
C.
Turbo Track
Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
-
D.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
E.
Moon Safari
Moon Safari is the acclaimed 1998 debut album by French electronic duo Air, known for its lush downtempo sound and influential role in popularizing chillout music.
- 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: The Jet Set Triple: [The Byrds, alsoKnownAs, The Jet Set]
Generated description
The Jet Set was an early name used by the American rock band The Byrds before they achieved fame in the mid-1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Jet Set Target entity description: The Jet Set was an early name used by the American rock band The Byrds before they achieved fame in the mid-1960s.
-
A.
G-Force
G-Force is a 2009 live-action/CGI family action-comedy film about a team of highly trained secret agent guinea pigs, produced by Jerry Bruckheimer.
-
B.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
C.
Turbo Track
Turbo Track is a high-speed, vertical roller coaster at Ferrari World Abu Dhabi that launches riders through the park’s iconic red roof.
-
D.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
E.
Moon Safari
Moon Safari is the acclaimed 1998 debut album by French electronic duo Air, known for its lush downtempo sound and influential role in popularizing chillout music.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd861188ac81908ef2b1f25cc6c864 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21d494b481909d7887cd85233815 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf230926348190b40f8a6105d64d54 |
completed | March 21, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf243319448190a30d6e8847d3f4b8 |
completed | March 21, 2026, 11:05 p.m. |
Created at: March 20, 2026, 2:01 p.m.