Triple
T15781209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Wright |
E382618
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Rachel Wright |
—
|
NE ONNED1 |
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 Wright | Statement: [Julia Wright, relative, Rachel Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Wright Context triple: [Julia Wright, relative, Rachel Wright]
-
A.
Rachel Wright
chosen
Rachel Wright is an individual known primarily as the sibling of Julia Wright.
-
B.
Laura Wright
Laura Wright is an American soap opera actress best known for her long-running role as Carly Corinthos on "General Hospital," for which she has earned critical acclaim and major industry awards.
-
C.
Sarah Wright
Sarah Wright is an American actress and model known for roles in films like "Walk of Shame" and the TV series "Parks and Recreation."
-
D.
Emily Wright
Emily Wright is a music producer known for her work on Owl City’s synth-pop album "The Midsummer Station."
-
E.
Amy Wright
Amy Wright is an American actress known for her character roles in films such as "Breaking Away" and "The Accidental Tourist."
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953eaa6c819091f7d63a1e3e7070 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 4:48 a.m.