Triple
T14959398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bess Armstrong |
E373020
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bess Armstrong |
E373020
|
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: Bess Armstrong | Statement: [Bess Armstrong, name, Bess Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bess Armstrong Context triple: [Bess Armstrong, name, Bess Armstrong]
-
A.
Bess Armstrong
chosen
Bess Armstrong is an American actress known for her work in film, television, and theater, including prominent roles in projects like the drama series "My So-Called Life."
-
B.
Bess Meredyth
Bess Meredyth was an American screenwriter and silent film pioneer known for her influential work in early Hollywood cinema.
-
C.
Betsy Russell
Betsy Russell is an American actress best known for her role as Jill Tuck in the Saw horror film franchise.
-
D.
Daisy Evans
Daisy Evans is a British singer and dancer best known as a member of the pop group S Club 8.
-
E.
Bess Myerson
Bess Myerson was an American television personality, former Miss America, and public figure who became widely known through her appearances on popular game and talk shows.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7ea1d78c81909b877fda05ef9231 |
completed | May 9, 2026, 12:24 a.m. |
Created at: April 10, 2026, 2:40 a.m.