Triple
T10008258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Easy to Find |
E198305
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
So Far So Fast
"So Far So Fast" is a song by American indie rock band The National from their album "I Am Easy to Find."
|
E838126
|
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: So Far So Fast | Statement: [I Am Easy to Find, hasPart, So Far So Fast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Far So Fast Context triple: [I Am Easy to Find, hasPart, So Far So Fast]
-
A.
Fast as You
"Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
-
B.
Fast as You Can
"Fast as You Can" is an experimental art-pop song by American singer-songwriter Fiona Apple, known for its complex rhythms, jazz-inflected arrangement, and emotionally turbulent lyrics.
-
C.
So Far
So Far is a 1974 compilation album by Crosby, Stills, Nash & Young featuring many of their most popular songs from earlier releases.
-
D.
So Far
"So Far" is a song by the Polish progressive rock band Allegro, showcasing their melodic and intricate musical style.
-
E.
So Far So Good
So Far So Good is a studio album by American electronic music duo The Chainsmokers that continues their blend of pop, EDM, and introspective songwriting.
- 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: So Far So Fast Triple: [I Am Easy to Find, hasPart, So Far So Fast]
Generated description
"So Far So Fast" is a song by American indie rock band The National from their album "I Am Easy to Find."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Far So Fast Target entity description: "So Far So Fast" is a song by American indie rock band The National from their album "I Am Easy to Find."
-
A.
Fast as You
"Fast as You" is a popular country song by American singer-songwriter Dwight Yoakam, known for its upbeat honky-tonk style and enduring radio appeal.
-
B.
Fast as You Can
"Fast as You Can" is an experimental art-pop song by American singer-songwriter Fiona Apple, known for its complex rhythms, jazz-inflected arrangement, and emotionally turbulent lyrics.
-
C.
So Far
So Far is a 1974 compilation album by Crosby, Stills, Nash & Young featuring many of their most popular songs from earlier releases.
-
D.
So Far
"So Far" is a song by the Polish progressive rock band Allegro, showcasing their melodic and intricate musical style.
-
E.
So Far So Good
So Far So Good is a studio album by American electronic music duo The Chainsmokers that continues their blend of pop, EDM, and introspective songwriting.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd187fe481908556ea896c528ea4 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a0034ec8190bd0a2a368441e44f |
completed | April 5, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69d29b28f48081909f7e0487800ebe52 |
completed | April 5, 2026, 5:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29be3713c819089843c4ec2be93f1 |
completed | April 5, 2026, 5:29 p.m. |
Created at: March 30, 2026, 8:52 p.m.