Triple
T21610648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Louis Judd |
E533295
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Alice 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: Alice Moore | Statement: [Dr. Louis Judd, associatedWithCharacter, Alice Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Moore Context triple: [Dr. Louis Judd, associatedWithCharacter, Alice Moore]
-
A.
Alice Moore
Alice Moore is the daughter of American silent film actress Alice Joyce.
-
B.
Alice Moore
chosen
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.
-
C.
Elizabeth Moore
Elizabeth Moore was the mother of John Moore, who became Archbishop of Canterbury in the late 18th century.
-
D.
Catherine Lucille Moore
Catherine Lucille Moore was an influential American science fiction and fantasy writer, celebrated for her pioneering, atmospheric stories in the mid-20th century.
-
E.
Rachel Moore
Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e88f7081909371bc0de2147609 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.