Triple
T11793921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMA Films |
E280456
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Let the Love Begin
Let the Love Begin is a 2005 Filipino romantic drama film starring Richard Gutierrez and Angel Locsin, known for its popular love story and hit theme song.
|
E946964
|
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: Let the Love Begin | Statement: [GMA Films, notableWork, Let the Love Begin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let the Love Begin Context triple: [GMA Films, notableWork, Let the Love Begin]
-
A.
Only Love
"Only Love" is a popular song performed by Greek singer Nana Mouskouri that became one of her signature international hits.
-
B.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
C.
Making Love
"Making Love" is a 1982 romantic drama film notable for its then-groundbreaking portrayal of a gay relationship in mainstream American cinema.
-
D.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
-
E.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
- 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: Let the Love Begin Triple: [GMA Films, notableWork, Let the Love Begin]
Generated description
Let the Love Begin is a 2005 Filipino romantic drama film starring Richard Gutierrez and Angel Locsin, known for its popular love story and hit theme song.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Let the Love Begin Target entity description: Let the Love Begin is a 2005 Filipino romantic drama film starring Richard Gutierrez and Angel Locsin, known for its popular love story and hit theme song.
-
A.
Only Love
"Only Love" is a popular song performed by Greek singer Nana Mouskouri that became one of her signature international hits.
-
B.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
C.
Making Love
"Making Love" is a 1982 romantic drama film notable for its then-groundbreaking portrayal of a gay relationship in mainstream American cinema.
-
D.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
-
E.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09115c66c8190b0a3e775bdf575c1 |
completed | April 28, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69f0bd40108c8190863a60cf01cc7201 |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef7e9f388190b33f6c16abadfde9 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.