Triple
T14805300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ol Parker |
E348018
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Imagine Me & You |
E629857
|
NE FINISHED |
How this triple was built (2 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 Me & You | Statement: [Ol Parker, wroteScreenplayFor, Imagine Me & You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imagine Me & You Context triple: [Ol Parker, wroteScreenplayFor, Imagine Me & You]
-
A.
Imagine Me & You
chosen
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.
Imagine Me
"Imagine Me" is a contemporary gospel song by Kirk Franklin that reflects on healing, self-acceptance, and freedom from past hurts.
-
C.
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.
-
D.
You and Me
"You and Me" is a song by La Toya Jackson from her 1988 pop and dance-oriented album "You're Gonna Get Rocked!"
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf32666081908e84f985c47eb963 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f6c6148190941b05d06d4dc54d |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:34 a.m.