Triple
T22397550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Muir |
E553674
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Josephine Leslie |
—
|
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: Josephine Leslie | Statement: [Lucy Muir, createdBy, Josephine Leslie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josephine Leslie Context triple: [Lucy Muir, createdBy, Josephine Leslie]
-
A.
Josephine Leslie
chosen
Josephine Leslie was an Irish author best known for her novel "The Ghost and Mrs. Muir," which inspired several film and television adaptations.
-
B.
Josephine Lloyd
Josephine Lloyd is an individual known professionally as Josie Lloyd, likely recognized for work or public presence under that name.
-
C.
Josephine Owen
Josephine Owen was the wife of influential American psychologist and scientific editor James McKeen Cattell.
-
D.
Josephine Hutchinson
Josephine Hutchinson was an American stage and film actress known for her work in Hollywood during the 1930s and 1940s, including roles in classic horror and dramatic films.
-
E.
Josephine Bloom
Josephine Bloom is a character in the film and novel "Big Fish," known as the supportive and loving wife of Will Bloom.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:46 p.m.