Triple
T20254110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Kelly |
E498636
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | The Messengers |
—
|
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: The Messengers | Statement: [Paul Kelly, associatedAct, The Messengers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Messengers Context triple: [Paul Kelly, associatedAct, The Messengers]
-
A.
The Messengers
The Messengers is a 2007 supernatural horror film about a family that encounters terrifying paranormal events after moving to a secluded sunflower farm in North Dakota.
-
B.
The Messengers
chosen
The Messengers are a music production and songwriting duo known for crafting pop and R&B hits for major artists.
-
C.
Shoot the Messenger
Shoot the Messenger is a 2006 British television drama film that explores race, identity, and self-hatred within the Black British community.
-
D.
The Messenger
The Messenger is a novel by Australian author Markus Zusak that follows an ordinary young man who becomes an unlikely hero after receiving mysterious messages compelling him to help strangers.
-
E.
The Messenger
The Messenger is a film featuring British actor Eamonn Walker in a prominent role.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.