Triple
T18852749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Todd |
E461084
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Must Love Dogs |
—
|
NE NERFINISHED |
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: Must Love Dogs | Statement: [Suzanne Todd, produced, Must Love Dogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Must Love Dogs Context triple: [Suzanne Todd, produced, Must Love Dogs]
-
A.
Must Love Dogs
chosen
Must Love Dogs is a 2005 romantic comedy film about a recently divorced woman navigating the modern dating scene with the help of online personals and her large, meddling family.
-
B.
For the Love of Dogs
For the Love of Dogs is a British television documentary series following the work of staff and volunteers at Battersea Dogs & Cats Home, presented by comedian and animal lover Paul O’Grady.
-
C.
Dog Love
"Dog Love" is a track from the album *Year of the Dog... Again* by British rapper and producer DMX.
-
D.
The Dog in Me
The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
-
E.
Man About Dog
Man About Dog is a 2004 Irish comedy film centered on three small-time Belfast gamblers who get entangled in greyhound racing schemes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05a8a708190b9b2b8f95b2f1d23 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.