Triple
T2240716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Hornby |
E49388
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object |
31 Songs
31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
|
E246779
|
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: 31 Songs | Statement: [Nick Hornby, wrote, 31 Songs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 31 Songs Context triple: [Nick Hornby, wrote, 31 Songs]
-
A.
One Song
"One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
-
B.
Song to Song
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
-
C.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
D.
The Album
The Album is a painting by French Post-Impressionist artist Édouard Vuillard, known for its intimate domestic interior and subtle, decorative use of color and pattern.
-
E.
The Album
The Album is a 1977 studio record by Swedish pop group ABBA that features hits like "Take a Chance on Me" and showcases the band at the height of their international success.
- 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: 31 Songs Triple: [Nick Hornby, wrote, 31 Songs]
Generated description
31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 31 Songs Target entity description: 31 Songs is a non-fiction book by Nick Hornby in which he reflects on his life and emotions through essays about 31 of his favorite songs.
-
A.
One Song
"One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
-
B.
Song to Song
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
-
C.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
D.
The Album
The Album is a 1977 studio record by Swedish pop group ABBA that features hits like "Take a Chance on Me" and showcases the band at the height of their international success.
-
E.
The Album
The Album is Teyana Taylor’s critically acclaimed 2020 R&B/hip-hop studio album known for its blend of soulful vocals, 1990s influences, and themes of love, motherhood, and empowerment.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0bccf688190bd10202a62fdf34e |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0cb4f0819087061434d44dc3a3 |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6b9edb688190a4e6e4a4ddf964f3 |
completed | March 9, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6bfbb6cc81909d647b3875450b4b |
completed | March 9, 2026, 6:43 a.m. |
Created at: March 4, 2026, 7:47 p.m.