Triple
T16388877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgette Wilson |
E397995
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bridgette Wilson |
E397995
|
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: Bridgette Wilson | Statement: [Bridgette Wilson, name, Bridgette Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridgette Wilson Context triple: [Bridgette Wilson, name, Bridgette Wilson]
-
A.
Bridgette Wilson
chosen
Bridgette Wilson is an American actress, singer, and former Miss Teen USA best known for her roles in 1990s films such as "Billy Madison" and "Mortal Kombat."
-
B.
Bridget Wayet
Bridget Wayet was the wife of renowned 18th-century English landscape architect Lancelot "Capability" Brown.
-
C.
Melissa Hurley
Melissa Hurley is an American dancer and choreographer best known for her work in film and television and for being married to actor Patrick Cassidy.
-
D.
Nicolette Robinson
Nicolette Robinson is an American actress and singer known for her work on television and Broadway, including starring in the musical "Waitress."
-
E.
Jessyca Wilson
Jessyca Wilson is a songwriter best known for her work on the track "Save Room."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263f18988190800b921381d60c1b |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356ed47c819085aaf101459dd55c |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.