Triple
T927185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Me Now |
E20009
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | John Ryan |
E153762
|
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: John Ryan | Statement: [Love Me Now, producer, John Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ryan Context triple: [Love Me Now, producer, John Ryan]
-
A.
John Ryan
chosen
John Ryan is an American songwriter and producer known for co-writing numerous pop hits for artists such as One Direction, Maroon 5, and Jason Derulo.
-
B.
William Ryan
William Ryan is a marine geologist and oceanographer known for his influential work on seafloor spreading and the geological history of the Black Sea, including the "Noah's Flood" hypothesis.
-
C.
Martin Connor
Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
-
D.
Jack Driscoll
Jack Driscoll is a central heroic character in the 1933 film "King Kong," serving as the ship's first mate and the primary human protagonist who helps rescue Ann Darrow from the giant ape.
-
E.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b32de3cc81908a0ef885795677ff |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acddfa1d48819081538d6505fa062c |
completed | March 8, 2026, 2:24 a.m. |
Created at: March 1, 2026, 7:40 p.m.