Triple
T16844360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Winner |
E409496
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | LuAnn Tyler |
E1237184
|
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: LuAnn Tyler | Statement: [The Winner, protagonist, LuAnn Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LuAnn Tyler Context triple: [The Winner, protagonist, LuAnn Tyler]
-
A.
LuAnn Tyler
chosen
LuAnn Tyler is the impoverished young mother who becomes entangled in a deadly, high-stakes lottery conspiracy in David Baldacci’s thriller novel "The Winner."
-
B.
LouAnne Johnson
LouAnne Johnson is an American teacher and author best known for her memoir about working with at-risk high school students, which inspired the film "Dangerous Minds."
-
C.
Charlene Tyler Marshall
Charlene Tyler Marshall is the widow of American theatrical producer and socialite Anthony Dryden Marshall, known for her involvement in high-profile family and estate matters.
-
D.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
E.
Linda Haynes
Linda Haynes was an American film and television actress best known for her roles in 1970s crime and exploitation films, including notable performances in movies like Rolling Thunder and Coffy.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3533a9481909730571e6f758cbe |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a4c2a881908d2797f6e61792d3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.