Triple
T20900356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobias Wilson |
E514652
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Rachel Wilson |
—
|
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: Rachel Wilson | Statement: [Tobias Wilson, hasSibling, Rachel Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Wilson Context triple: [Tobias Wilson, hasSibling, Rachel Wilson]
-
A.
Rachel Wilson
Rachel Wilson is a Canadian actress best known for her television work, including her role on the teen comedy series "Breaker High."
-
B.
Rachel Wilson
Rachel Wilson is a neuroscientist known for her influential research on sensory processing and neural circuits, and for being a former doctoral student of Nobel laureate Linda Buck.
-
C.
Anna Wilson
Anna Wilson is known as the sister of former child actress and writer Mara Wilson.
-
D.
Charis Wilson
Charis Wilson was an American writer and model best known as the muse and collaborator of photographer Edward Weston during the 1930s and 1940s.
-
E.
Laura Wilson
Laura Wilson is a British crime novelist known for her psychologically complex mysteries and contributions to contemporary detective fiction.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fa5228819084341dbc813cc1e3 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.