Triple
T20608986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva by Heart |
E506394
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Say Goodbye
"Say Goodbye" is a song by the American rock band Eva by Heart.
|
E1439969
|
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: Say Goodbye | Statement: [Eva by Heart, hasTrack, Say Goodbye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Say Goodbye Context triple: [Eva by Heart, hasTrack, Say Goodbye]
-
A.
Say Goodbye
"Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
-
B.
Say Goodbye
"Say Goodbye" is a psychological crime thriller novel by Lisa Gardner featuring FBI Special Agent Kimberly Quincy as she investigates a series of disturbing abductions linked to a sadistic predator.
-
C.
Say Goodbye
"Say Goodbye" is a song by American singer-songwriter Norah Jones from her 2012 album *Little Broken Hearts*, blending melancholic lyrics with a subdued, atmospheric pop sound.
-
D.
Say Goodbye
"Say Goodbye" is a mellow, introspective folk-rock song by Beck from his critically acclaimed 2014 album *Morning Phase*.
-
E.
Say Goodbye
"Say Goodbye" is a contemporary R&B song best known for showcasing producer Antonio Dixon’s smooth, emotive style and polished, radio-friendly sound.
- 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: Say Goodbye Triple: [Eva by Heart, hasTrack, Say Goodbye]
Generated description
"Say Goodbye" is a song by the American rock band Eva by Heart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Say Goodbye Target entity description: "Say Goodbye" is a song by the American rock band Eva by Heart.
-
A.
Say Goodbye
"Say Goodbye" is a song by American punk rock band Green Day from their 2016 album *Revolution Radio*.
-
B.
Say Goodbye
"Say Goodbye" is a psychological crime thriller novel by Lisa Gardner featuring FBI Special Agent Kimberly Quincy as she investigates a series of disturbing abductions linked to a sadistic predator.
-
C.
Say Goodbye
"Say Goodbye" is a song by American singer-songwriter Norah Jones from her 2012 album *Little Broken Hearts*, blending melancholic lyrics with a subdued, atmospheric pop sound.
-
D.
Say Goodbye
"Say Goodbye" is a mellow, introspective folk-rock song by Beck from his critically acclaimed 2014 album *Morning Phase*.
-
E.
Say Goodbye
"Say Goodbye" is a contemporary R&B song best known for showcasing producer Antonio Dixon’s smooth, emotive style and polished, radio-friendly sound.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad5e53c8190b0add34ce9b31d57 |
completed | April 20, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3f74af0819081bcb397b53957b9 |
completed | May 16, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_6a08b51e41c08190a4fb6f8879998046 |
completed | May 16, 2026, 6:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b61db7288190840ed6784a64673d |
completed | May 16, 2026, 6:23 p.m. |
Created at: April 16, 2026, 11:41 a.m.