Triple
T4429947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rid of Me |
E95300
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Goodnight
"Goodnight" is a track from PJ Harvey's acclaimed 1993 album "Rid of Me," known for its stark, emotionally raw sound.
|
E440907
|
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: Goodnight | Statement: [Rid of Me, hasPart, Goodnight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodnight Context triple: [Rid of Me, hasPart, Goodnight]
-
A.
Bedtime
"Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
-
B.
Goodnight Tonight
"Goodnight Tonight" is a 1979 disco-influenced single by Paul McCartney and Wings, known for its catchy bassline and blend of rock and dance music.
-
C.
Goodnight Adeline
Goodnight Adeline is a song featured on the album "Saviors" by Green Day.
-
D.
All Night
"All Night" is a funk-infused hip hop single by American rapper Big Boi, known for its upbeat production and catchy hook from his 2017 album "Boomiverse."
-
E.
All Night
"All Night" is a soulful, uplifting track by Beyoncé from her critically acclaimed visual album "Lemonade," noted for its themes of forgiveness and healing in a relationship.
- 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: Goodnight Triple: [Rid of Me, hasPart, Goodnight]
Generated description
"Goodnight" is a track from PJ Harvey's acclaimed 1993 album "Rid of Me," known for its stark, emotionally raw sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goodnight Target entity description: "Goodnight" is a track from PJ Harvey's acclaimed 1993 album "Rid of Me," known for its stark, emotionally raw sound.
-
A.
Bedtime
"Bedtime" is a British television drama series best known for its intimate, character-driven stories set around the lives of neighbors in a suburban street at night.
-
B.
Goodnight Tonight
"Goodnight Tonight" is a 1979 disco-influenced single by Paul McCartney and Wings, known for its catchy bassline and blend of rock and dance music.
-
C.
Goodnight Adeline
Goodnight Adeline is a song featured on the album "Saviors" by Green Day.
-
D.
All Night
"All Night" is a funk-infused hip hop single by American rapper Big Boi, known for its upbeat production and catchy hook from his 2017 album "Boomiverse."
-
E.
All Night
"All Night" is a soulful, uplifting track by Beyoncé from her critically acclaimed visual album "Lemonade," noted for its themes of forgiveness and healing in a relationship.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35569b3388190bdef2568f5dc04ce |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136caa248190a84423cede1908c3 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b617c13d4481909d22d201ce405d3a |
completed | March 15, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6187687f8819084e2d611e9e31f79 |
completed | March 15, 2026, 2:24 a.m. |
Created at: March 12, 2026, 11:30 p.m.