Triple
T18311562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridget McCain |
E438637
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bridget |
—
|
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: Bridget | Statement: [Bridget McCain, givenName, Bridget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridget Context triple: [Bridget McCain, givenName, Bridget]
-
A.
Bridget
chosen
Bridget is a feminine given name most notably associated with American actress Bridget Fonda.
-
B.
Bridget
Bridget is a fictional character portrayed by American actress Elinor Donahue, known for her work in classic film and television.
-
C.
Bridget
Bridget is a woman who becomes one of Jason Stackhouse’s romantic interests in the television series "True Blood."
-
D.
Bridget
Bridget is the racehorse that became the inaugural winner of the prestigious Epsom Oaks, one of Britain’s classic flat races.
-
E.
Bridgette
Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.