Triple
T12318666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw IV |
E293670
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Betsy Russell
Betsy Russell is an American actress best known for her role as Jill Tuck in the Saw horror film franchise.
|
E1076956
|
NE FINISHED |
How this triple was built (4 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 IV, stars, Betsy Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Russell Context triple: [Saw IV, stars, Betsy Russell]
-
A.
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.
-
B.
Rachel Russell
Rachel Russell was a member of the prominent British Russell family, known historically for its political influence and aristocratic lineage.
-
C.
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.
-
D.
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.
-
E.
Mary Ellis
Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Betsy Russell Triple: [Saw IV, stars, Betsy Russell]
Generated description
Betsy Russell is an American actress best known for her role as Jill Tuck in the Saw horror film franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betsy Russell Target entity description: Betsy Russell is an American actress best known for her role as Jill Tuck in the Saw horror film franchise.
-
A.
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.
-
B.
Rachel Russell
Rachel Russell was a member of the prominent British Russell family, known historically for its political influence and aristocratic lineage.
-
C.
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.
-
D.
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.
-
E.
Mary Ellis
Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
- F. None of above. chosen
Provenance (5 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc30d72588190a1ebab7477c9e668 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc7f422e488190b568b784f841c950 |
completed | May 7, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc7fb1d8c481909d2bf58308f64bb9 |
completed | May 7, 2026, 12:04 p.m. |
Created at: April 8, 2026, 9:53 p.m.