Triple
T10008260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Easy to Find |
E198305
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hairpin Turns
"Hairpin Turns" is a song by American indie rock band The National from their 2019 album *I Am Easy to Find*.
|
E834704
|
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: Hairpin Turns | Statement: [I Am Easy to Find, hasPart, Hairpin Turns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hairpin Turns Context triple: [I Am Easy to Find, hasPart, Hairpin Turns]
-
A.
Ramsey Hairpin
Ramsey Hairpin is a tight, challenging hairpin bend on the Isle of Man TT Mountain Course, known as a key braking and overtaking point in the Senior TT race.
-
B.
Helix
Helix is a multi-launch steel roller coaster at the Liseberg amusement park in Gothenburg, Sweden, known for its intense inversions and terrain-hugging layout.
-
C.
Helix
Helix is an interactive light-based art installation by Jen Lewin that invites public participation through responsive, immersive illumination.
-
D.
Helixe
Helixe was a video game development studio known for creating licensed titles, including handheld adaptations of popular franchises such as the Cars video game.
-
E.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
- 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: Hairpin Turns Triple: [I Am Easy to Find, hasPart, Hairpin Turns]
Generated description
"Hairpin Turns" is a song by American indie rock band The National from their 2019 album *I Am Easy to Find*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hairpin Turns Target entity description: "Hairpin Turns" is a song by American indie rock band The National from their 2019 album *I Am Easy to Find*.
-
A.
Ramsey Hairpin
Ramsey Hairpin is a tight, challenging hairpin bend on the Isle of Man TT Mountain Course, known as a key braking and overtaking point in the Senior TT race.
-
B.
Helix
Helix is a multi-launch steel roller coaster at the Liseberg amusement park in Gothenburg, Sweden, known for its intense inversions and terrain-hugging layout.
-
C.
Helix
Helix is an interactive light-based art installation by Jen Lewin that invites public participation through responsive, immersive illumination.
-
D.
Helixe
Helixe was a video game development studio known for creating licensed titles, including handheld adaptations of popular franchises such as the Cars video game.
-
E.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
- 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_69d26a683c208190a79ebc2e6ec5893c |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26b4060548190980bd01ef550c4bd |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26bf054608190890377e9b7538842 |
completed | April 5, 2026, 2:04 p.m. |
Created at: March 30, 2026, 8:52 p.m.