Triple
T11793929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMA Films |
E280456
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Imagine You and Me
Imagine You and Me is a Filipino romantic film best known for starring the popular love team of Alden Richards and Maine Mendoza.
|
E946971
|
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: Imagine You and Me | Statement: [GMA Films, notableWork, Imagine You and Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imagine You and Me Context triple: [GMA Films, notableWork, Imagine You and Me]
-
A.
Imagine Me & You
Imagine Me & You is a 2005 British romantic comedy film about an unexpected love that blossoms between a newly married woman and a female florist she meets on her wedding day.
-
B.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
C.
You and Me
"You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
-
D.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
-
E.
Imagine Me
"Imagine Me" is a contemporary gospel song by Kirk Franklin that reflects on healing, self-acceptance, and freedom from past hurts.
- 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: Imagine You and Me Triple: [GMA Films, notableWork, Imagine You and Me]
Generated description
Imagine You and Me is a Filipino romantic film best known for starring the popular love team of Alden Richards and Maine Mendoza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Imagine You and Me Target entity description: Imagine You and Me is a Filipino romantic film best known for starring the popular love team of Alden Richards and Maine Mendoza.
-
A.
Imagine Me & You
Imagine Me & You is a 2005 British romantic comedy film about an unexpected love that blossoms between a newly married woman and a female florist she meets on her wedding day.
-
B.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
-
C.
You and Me
"You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
-
D.
You and Me
"You and Me" is a Soviet drama film by acclaimed director Larisa Shepitko, exploring complex human relationships and moral choices.
-
E.
Imagine Me
"Imagine Me" is a contemporary gospel song by Kirk Franklin that reflects on healing, self-acceptance, and freedom from past hurts.
- 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.