Triple
T8672068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conor Oberst (album) |
E205819
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object |
Get-Well Cards
"Get-Well Cards" is a reflective indie folk song by singer-songwriter Conor Oberst from his self-titled solo album.
|
E749483
|
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: Get-Well Cards | Statement: [Conor Oberst (album), containsSong, Get-Well Cards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get-Well Cards Context triple: [Conor Oberst (album), containsSong, Get-Well Cards]
-
A.
Calling Cards
Calling Cards is a program section of the Telluride Film Festival that showcases emerging filmmakers’ early or breakthrough works.
-
B.
Cardiac Cards
Cardiac Cards is a nickname for the former St. Louis Cardinals NFL team, referencing their dramatic, late-game comebacks and close finishes.
-
C.
Go-To Card
The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
-
D.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
E.
Pronto card
The Pronto card is a reloadable smart fare card used for paying public transit fares across the San Diego Metropolitan Transit System and related services.
- 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: Get-Well Cards Triple: [Conor Oberst (album), containsSong, Get-Well Cards]
Generated description
"Get-Well Cards" is a reflective indie folk song by singer-songwriter Conor Oberst from his self-titled solo album.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Get-Well Cards Target entity description: "Get-Well Cards" is a reflective indie folk song by singer-songwriter Conor Oberst from his self-titled solo album.
-
A.
Calling Cards
Calling Cards is a program section of the Telluride Film Festival that showcases emerging filmmakers’ early or breakthrough works.
-
B.
Cardiac Cards
Cardiac Cards is a nickname for the former St. Louis Cardinals NFL team, referencing their dramatic, late-game comebacks and close finishes.
-
C.
Go-To Card
The Go-To Card is a reusable, contactless smart card used to pay fares on the Minneapolis–Saint Paul METRO transit system.
-
D.
CharlieCard
The CharlieCard is a reusable contactless smart card used to pay fares on Boston's MBTA public transit system.
-
E.
Pronto card
The Pronto card is a reloadable smart fare card used for paying public transit fares across the San Diego Metropolitan Transit System and related services.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491a34d08190b0795079d192a03d |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd3a3c5c8190940a61e7e7b3e887 |
completed | April 2, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69cece8fcbcc8190832a66287bc8f833 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecff76a7c81909e3db785292eefee |
completed | April 2, 2026, 8:22 p.m. |
Created at: March 30, 2026, 6:31 p.m.