Triple
T20305753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom T. Hall |
E505604
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
I Love
"I Love" is a popular country song by Tom T. Hall, known for its simple, list-style lyrics expressing affection for everyday things.
|
E1423061
|
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: I Love | Statement: [Tom T. Hall, notableWork, I Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Love Context triple: [Tom T. Hall, notableWork, I Love]
-
A.
This I Love
"This I Love" is a power ballad by Guns N' Roses, featured as one of the more melodic and emotional tracks on their album *Chinese Democracy*.
-
B.
I Love Music
"I Love Music" is a song best known as a classic disco and soul track popularized by The O'Jays.
-
C.
I Love, You Love
"I Love, You Love" is a song by the British rock band The Stone Roses, featured on their 2000 compilation album "The Stone Roses: The Remixes" (also known as "Evolver").
-
D.
My Love
"My Love" is a popular pop ballad by Irish boy band Westlife, known for its heartfelt lyrics and soaring melody.
-
E.
My Love
"My Love" is a pop ballad by Celine Dion, featured on her 2007 album *Taking Chances* and known for its emotional lyrics and powerful vocal performance.
- 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: I Love Triple: [Tom T. Hall, notableWork, I Love]
Generated description
"I Love" is a popular country song by Tom T. Hall, known for its simple, list-style lyrics expressing affection for everyday things.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Love Target entity description: "I Love" is a popular country song by Tom T. Hall, known for its simple, list-style lyrics expressing affection for everyday things.
-
A.
This I Love
"This I Love" is a power ballad by Guns N' Roses, featured as one of the more melodic and emotional tracks on their album *Chinese Democracy*.
-
B.
I Love Music
"I Love Music" is a song best known as a classic disco and soul track popularized by The O'Jays.
-
C.
I Love, You Love
"I Love, You Love" is a song by the British rock band The Stone Roses, featured on their 2000 compilation album "The Stone Roses: The Remixes" (also known as "Evolver").
-
D.
My Love
"My Love" is a hit dance-pop song by British singer Jess Glynne, best known for its soulful vocals and chart-topping success in the mid-2010s.
-
E.
My Love
"My Love" is a soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08611c2f248190bf7c69536022ee8a |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a0862421d9c8190bcc0c2c6dc1e9936 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08632b4618819085a4cc20aa297c70 |
completed | May 16, 2026, 12:29 p.m. |
Created at: April 16, 2026, 11:18 a.m.