Triple
T20875720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In My Life |
E514012
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object |
Liverpool Lullaby
Liverpool Lullaby is a poignant folk-style song associated with Liverpool, often noted for its tender, bittersweet portrayal of working-class life and motherhood.
|
E1454624
|
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: Liverpool Lullaby | Statement: [In My Life, notableTrack, Liverpool Lullaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liverpool Lullaby Context triple: [In My Life, notableTrack, Liverpool Lullaby]
-
A.
Lullabye
Lullabye is a song featured on the album "Bloodletting" by the alternative rock band Concrete Blonde.
-
B.
Lullabye
"Lullabye" is a gentle, atmospheric track by Grizzly Bear featured on their acclaimed album *Yellow House*.
-
C.
Lullaby
"Lullaby" is a celebrated love poem by W. H. Auden that tenderly reflects on the transience of beauty and the enduring nature of love.
-
D.
Lullaby
"Lullaby" is a song from Tom Waits' 2002 album *Blood Money*, known for its dark, theatrical cabaret style and melancholic tone.
-
E.
Lullaby
Lullaby is a film directed by South African filmmaker Darrell Roodt, known for his socially conscious and emotionally driven storytelling.
- 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: Liverpool Lullaby Triple: [In My Life, notableTrack, Liverpool Lullaby]
Generated description
Liverpool Lullaby is a poignant folk-style song associated with Liverpool, often noted for its tender, bittersweet portrayal of working-class life and motherhood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liverpool Lullaby Target entity description: Liverpool Lullaby is a poignant folk-style song associated with Liverpool, often noted for its tender, bittersweet portrayal of working-class life and motherhood.
-
A.
Lullabye
Lullabye is a song featured on the album "Bloodletting" by the alternative rock band Concrete Blonde.
-
B.
Lullabye
"Lullabye" is a gentle, atmospheric track by Grizzly Bear featured on their acclaimed album *Yellow House*.
-
C.
Lullaby
"Lullaby" is a celebrated love poem by W. H. Auden that tenderly reflects on the transience of beauty and the enduring nature of love.
-
D.
Lullaby
"Lullaby" is a song from Tom Waits' 2002 album *Blood Money*, known for its dark, theatrical cabaret style and melancholic tone.
-
E.
Lullaby
"Lullaby" is a song by Mariah Carey from her 2002 studio album "Charmbracelet."
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674f68c8190a7b43aeea5b9b976 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0913a06c208190963a53d5ac5399c5 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09140b17988190ab1e636b65b0e293 |
completed | May 17, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09146d53248190a68602a0804afde7 |
completed | May 17, 2026, 1:05 a.m. |
Created at: April 16, 2026, 12:45 p.m.