Triple
T22595432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma C. Revell Moody |
E574665
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Emma Moody Fitt |
—
|
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: Emma Moody Fitt | Statement: [Emma C. Revell Moody, mother, Emma Moody Fitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Moody Fitt Context triple: [Emma C. Revell Moody, mother, Emma Moody Fitt]
-
A.
Emma Moody Fitt
chosen
Emma Moody Fitt was the daughter of famed American evangelist Dwight L. Moody and was involved in preserving and promoting her father's religious and educational legacy.
-
B.
Alice Moore
Alice Moore is the daughter of American silent film actress Alice Joyce.
-
C.
Alice Moore
Alice Moore is a character in the 1942 horror film "Cat People," serving as a key figure in the romantic and psychological tensions that drive the story.
-
D.
Elizabeth Moore
Elizabeth Moore was the mother of John Moore, who became Archbishop of Canterbury in the late 18th century.
-
E.
Mary Ellis
Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:49 p.m.