Triple
T5643945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Guleserian |
E124336
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Love, Rosie |
E253227
|
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: Love, Rosie | Statement: [John Guleserian, notableWork, Love, Rosie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love, Rosie Context triple: [John Guleserian, notableWork, Love, Rosie]
-
A.
Love, Rosie
chosen
Love, Rosie is a 2014 romantic comedy-drama film based on Cecelia Ahern’s novel "Where Rainbows End," following the lifelong, will-they-won’t-they relationship between two best friends.
-
B.
The Rosie Hospital
The Rosie Hospital is a specialist maternity and neonatal hospital in Cambridge, England, providing comprehensive care for pregnancy, childbirth, and newborns.
-
C.
Mrs Brown
Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
-
D.
Love and Mr. Lewisham
Love and Mr. Lewisham is an early novel by H. G. Wells that explores the romantic and social struggles of a young, idealistic schoolteacher in late Victorian England.
-
E.
Le Rosey
Le Rosey is an elite Swiss boarding school renowned for its international student body, bilingual education, and reputation as one of the most exclusive schools in the world.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a7cd9c819087f86f60e8b65fc3 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d80396c81909e26da3b5ca5ea34 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.