Triple
T9315334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Robson |
E224103
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | May Robson |
E224103
|
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: May Robson | Statement: [May Robson, name, May Robson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May Robson Context triple: [May Robson, name, May Robson]
-
A.
May Robson
chosen
May Robson was an Australian-born American stage and film actress known for her character roles in early Hollywood cinema, including appearances in major silent and sound-era productions.
-
B.
Amy Bosley
Amy Bosley is known as the daughter of American actor Tom Bosley, famed for his role as Howard Cunningham on the television series "Happy Days."
-
C.
Susan Mara
Susan Mara is a member of the Mara family, the longtime owners of the NFL’s New York Giants franchise.
-
D.
Barbara Weston
Barbara Weston is the central character of the American sitcom "Empty Nest," portrayed as a quirky and often scatterbrained adult daughter living with her widowed father.
-
E.
Anne Rennie
Anne Rennie is known as the wife of bestselling adventure novelist Wilbur Smith.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1101359048190b37547d1fedb3bb1 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:37 p.m.