Triple
T18259407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Barrie |
E437306
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wendy Barrie |
—
|
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: Wendy Barrie | Statement: [Wendy Barrie, name, Wendy Barrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Barrie Context triple: [Wendy Barrie, name, Wendy Barrie]
-
A.
Wendy Barrie
chosen
Wendy Barrie was a British-born film and television actress prominent in the 1930s and 1940s, known for her roles in Hollywood features and early TV hosting.
-
B.
Mona Barrie
Mona Barrie was an English-born actress who became known in American films and on Broadway during the 1930s and 1940s.
-
C.
Bonnie Murray
Bonnie Murray is the wife of American actor and dancer Russ Tamblyn, known for his roles in films like "West Side Story" and "Seven Brides for Seven Brothers."
-
D.
Wendy Thomson
Wendy Thomson is a British public administrator and academic leader who serves as Vice-Chancellor of the University of London.
-
E.
Lyn Murray
Lyn Murray was a film and television composer and conductor best known for his work in mid-20th-century Hollywood, including scores for suspense and adventure films.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd89899c8190b8b652c4f61aa5cf |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.