Triple
T19312352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Moore |
E483002
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Christian 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: Christian Moore | Statement: [Deborah Moore, relative, Christian Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Moore Context triple: [Deborah Moore, relative, Christian Moore]
-
A.
Christian Moore
chosen
Christian Moore is one of the children of the late British actor Sir Roger Moore, famed for his portrayal of James Bond.
-
B.
Ken Moore
Ken Moore is an American politician who serves as the mayor of Franklin, Tennessee.
-
C.
Kevin Moore
Kevin Moore is an American keyboardist and composer best known as a former member of the progressive metal band Dream Theater and for his solo work under the name Chroma Key.
-
D.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
-
E.
Terris Moore
Terris Moore was an American mountaineer, explorer, and later university president known for pioneering ascents of major North American peaks.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604ce5de081909811c49f56ba94bb |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:32 p.m.