Triple
T19351202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Theft Auto |
E484022
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Marion Ross |
—
|
NE NERFINISHED |
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: Marion Ross | Statement: [Grand Theft Auto, starring, Marion Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marion Ross Context triple: [Grand Theft Auto, starring, Marion Ross]
-
A.
Marion Ross
chosen
Marion Ross is an American actress best known for playing matriarch Marion Cunningham on the classic television sitcom "Happy Days."
-
B.
Loretta Swit
Loretta Swit is an American actress best known for her Emmy-winning role as Major Margaret "Hot Lips" Houlihan on the television series M*A*S*H.
-
C.
Jill Eikenberry
Jill Eikenberry is an American actress best known for her Emmy-nominated role as attorney Ann Kelsey on the television series "L.A. Law."
-
D.
Mary Tyler Moore
Mary Tyler Moore was an influential American actress and television icon best known for redefining the portrayal of independent working women through her roles on "The Dick Van Dyke Show" and "The Mary Tyler Moore Show."
-
E.
Tina Yothers
Tina Yothers is an American actress best known for playing Jennifer Keaton on the 1980s sitcom "Family Ties."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61904a878819084d58ed3b7d8a978 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.