Triple
T12395813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midnight Love |
E296111
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Midnight Lady
"Midnight Lady" is a song, likely in the pop or R&B genre, known as a track from the release titled "Midnight Love."
|
E989961
|
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: Midnight Lady | Statement: [Midnight Love, track, Midnight Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midnight Lady Context triple: [Midnight Love, track, Midnight Lady]
-
A.
Midnight Hymn
Midnight Hymn is a Christian devotional hymn attributed to Anglican bishop and hymnwriter Thomas Ken, reflecting his influential role in early English hymnody.
-
B.
Soon After Midnight
"Soon After Midnight" is a song by Bob Dylan, known as a moody, romantic ballad from his 2012 album "Tempest."
-
C.
Midnight Lace
Midnight Lace is a 1960 suspense thriller film best known for starring Doris Day as a terrorized newlywed in London.
-
D.
Midnight Rider
"Midnight Rider" is one of The Allman Brothers Band’s signature Southern rock songs, known for its haunting melody, reflective lyrics, and enduring influence on rock and country music.
-
E.
Midnight Man
Midnight Man is a recurring Marvel Comics supervillain and art thief who frequently clashes with the vigilante Moon Knight.
- 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: Midnight Lady Triple: [Midnight Love, track, Midnight Lady]
Generated description
"Midnight Lady" is a song, likely in the pop or R&B genre, known as a track from the release titled "Midnight Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Midnight Lady Target entity description: "Midnight Lady" is a song, likely in the pop or R&B genre, known as a track from the release titled "Midnight Love."
-
A.
Midnight Hymn
Midnight Hymn is a Christian devotional hymn attributed to Anglican bishop and hymnwriter Thomas Ken, reflecting his influential role in early English hymnody.
-
B.
Soon After Midnight
"Soon After Midnight" is a song by Bob Dylan, known as a moody, romantic ballad from his 2012 album "Tempest."
-
C.
Midnight Lace
Midnight Lace is a 1960 suspense thriller film best known for starring Doris Day as a terrorized newlywed in London.
-
D.
Midnight Rider
"Midnight Rider" is one of The Allman Brothers Band’s signature Southern rock songs, known for its haunting melody, reflective lyrics, and enduring influence on rock and country music.
-
E.
Midnight Man
Midnight Man is a recurring Marvel Comics supervillain and art thief who frequently clashes with the vigilante Moon Knight.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556240f48190a3510d10ab98127b |
completed | May 2, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_69f6566dccc0819085e059c7b0288f6c |
completed | May 2, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65799ca588190b9f7a07f5c1a842c |
completed | May 2, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:54 p.m.