Triple
T18092629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romance in Durango |
E433008
|
entity |
| Predicate | featuresMusician |
P20942
|
FINISHED |
| Object | Domino |
—
|
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: Domino | Statement: [Romance in Durango, featuresMusician, Domino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domino Context triple: [Romance in Durango, featuresMusician, Domino]
-
A.
Domino
"Domino" is a 2005 action-crime film directed by Tony Scott, loosely based on the life of bounty hunter Domino Harvey.
-
B.
Domino
"Domino" is a 1970 upbeat rhythm and blues song by Van Morrison, known for its soulful horn arrangements and enduring popularity in his catalog.
-
C.
Domino
Domino is an independent British record label known for releasing influential indie and alternative music from artists such as Arctic Monkeys and Franz Ferdinand.
-
D.
Domino
chosen
Domino is an American rapper and producer known for his work in the early 1990s West Coast hip hop scene, particularly for his smooth, melodic style.
-
E.
Domino
"Domino" is a 2011 upbeat pop song by English singer-songwriter Jessie J that became one of her most commercially successful and internationally recognized hits.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.