Triple
T8064054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws 3-D |
E188196
|
entity |
| Predicate | stars |
P1956
|
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: [Jaws 3-D, stars, Bess Armstrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bess Armstrong Context triple: [Jaws 3-D, stars, 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.
Bess Flowers
Bess Flowers was a prolific American character actress best known as the "Queen of the Hollywood Extras" for her hundreds of uncredited appearances in classic films from the 1920s through the 1960s.
-
D.
Betsy Booth
Betsy Booth is a recurring teenage character in the Andy Hardy film series, portrayed as a sweet, musically talented girl who harbors a crush on Andy.
-
E.
Bess Macauley
Bess Macauley is the central protagonist of William Saroyan’s novel "The Human Comedy," around whom the story’s emotional and moral themes revolve.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fd07fd08190a3b61cb3369ee6a6 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63de88fc8190ac2c46edca324cec |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.