Triple
T5388896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 112 |
E120271
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Love Me
"Love Me" is a creative work, likely a song or film, recognized as a notable part of an artist's or creator's body of work.
|
E517530
|
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: Love Me | Statement: [112, notableWork, Love Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Me Context triple: [112, notableWork, Love Me]
-
A.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
B.
Let Me Love You
"Let Me Love You" is a 2004 R&B ballad by American singer Mario that became a major international hit and one of his signature songs.
-
C.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
D.
Do You Love Me
"Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
-
E.
Love Me Tonight
Love Me Tonight is a 1932 pre-Code musical comedy film starring Maurice Chevalier and Jeanette MacDonald, celebrated for its innovative use of sound and song integration in early Hollywood cinema.
- 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: Love Me Triple: [112, notableWork, Love Me]
Generated description
"Love Me" is a creative work, likely a song or film, recognized as a notable part of an artist's or creator's body of work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love Me Target entity description: "Love Me" is a creative work, likely a song or film, recognized as a notable part of an artist's or creator's body of work.
-
A.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
B.
Let Me Love You
"Let Me Love You" is a 2004 R&B ballad by American singer Mario that became a major international hit and one of his signature songs.
-
C.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
D.
Do You Love Me
"Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
-
E.
Love Me Tonight
Love Me Tonight is a 1932 pre-Code musical comedy film starring Maurice Chevalier and Jeanette MacDonald, celebrated for its innovative use of sound and song integration in early Hollywood cinema.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd871573b48190aa60871be56847ae |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf336126ec8190ad6d59469eac07c5 |
completed | March 22, 2026, 12:10 a.m. |
| NEDg | Description generation | batch_69bf340a51848190b4722f456f997833 |
completed | March 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34714e808190b06b47891ea31bbf |
completed | March 22, 2026, 12:14 a.m. |
Created at: March 20, 2026, 2:04 p.m.