Triple
T21537002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stolen |
E531373
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Niall Johnson |
—
|
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: Niall Johnson | Statement: [The Stolen, writer, Niall Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niall Johnson Context triple: [The Stolen, writer, Niall Johnson]
-
A.
Niall Johnson
chosen
Niall Johnson is a British film director and screenwriter known for his work on character-driven dramas and comedies.
-
B.
Niall Quinn
Niall Quinn is a former Irish professional footballer and businessman best known for his time as a striker with Arsenal, Manchester City, and Sunderland, and for later serving as chairman of Sunderland AFC.
-
C.
Niall Quinn
Niall Quinn is an Irish musician best known as an early vocalist and founding member of the band that would become The Cranberries.
-
D.
Niall Cunningham
Niall Cunningham is an American actor best known for his role as Tyler Hughes on the CBS sitcom "Life in Pieces."
-
E.
Niall O’Brien
Niall O’Brien is an actor known for his role in the film "The Legend of 1900."
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.