Triple
T17188833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Everlasting |
E417173
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Sean Moore |
—
|
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: Sean Moore | Statement: [The Everlasting, writer, Sean Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Moore Context triple: [The Everlasting, writer, Sean Moore]
-
A.
Sean Moore
Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
-
B.
Sean Moore
chosen
Sean Moore is a writer known for his work on the film "Tsunami."
-
C.
Matthew Moore
Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
-
D.
Jacob Moore
Jacob Moore is a young, ambitious proprietary trader navigating high finance and moral dilemmas in the film "Wall Street: Money Never Sleeps."
-
E.
Steve Moore
Steve Moore was a British comics writer best known for his influential work in fantasy and science fiction comics, including stories that inspired the 2014 film "Hercules."
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d97b9808190aa1900775cd3dfd5 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 5:37 a.m.