Triple
T17183634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josephine Wiggs |
E417043
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Josephine Wiggs |
E417043
|
NE FINISHED |
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 Wiggs | Statement: [Josephine Wiggs, name, Josephine Wiggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josephine Wiggs Context triple: [Josephine Wiggs, name, Josephine Wiggs]
-
A.
Josephine Wiggs
chosen
Josephine Wiggs is an English musician and bassist best known for her work with the alternative rock band The Breeders.
-
B.
Josephine Owen
Josephine Owen was the wife of influential American psychologist and scientific editor James McKeen Cattell.
-
C.
Josephine Hull
Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
-
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 Donna Smith
Josephine Donna Smith was the birth name of Ina Coolbrith, a prominent American poet, librarian, and California’s first poet laureate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d9416a48190a5930fcd6008dbaa |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.