Triple
T12569937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw 3D |
E295573
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Betsy Russell |
E1076956
|
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: Betsy Russell | Statement: [Saw 3D, starring, Betsy Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Russell Context triple: [Saw 3D, starring, Betsy Russell]
-
A.
Betsy Russell
chosen
Betsy Russell is an American actress best known for her role as Jill Tuck in the Saw horror film franchise.
-
B.
Betsy Reed
Betsy Reed is an American journalist and editor best known for her leadership roles at progressive news outlets, including serving as editor-in-chief of The Intercept under First Look Media.
-
C.
Rachel Russell
Rachel Russell was a member of the prominent British Russell family, known historically for its political influence and aristocratic lineage.
-
D.
Betsy Bowen
Betsy Bowen, later known as Eliza Jumel, was a prominent 19th-century American socialite and wealthy New York landowner who rose from poverty to become one of the richest women of her time.
-
E.
Betsy Blair
Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a422c88190a22cc34d2eac00ce |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27ee6ff881909fb0d1590580c4e8 |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 8, 2026, 11:50 p.m.