Triple
T20898443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Grind |
E514604
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lynette Howell |
—
|
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: Lynette Howell | Statement: [Mississippi Grind, producer, Lynette Howell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynette Howell Context triple: [Mississippi Grind, producer, Lynette Howell]
-
A.
Lynette Howell
chosen
Lynette Howell is a film producer known for her work on acclaimed independent and studio films, including "The Place Beyond the Pines."
-
B.
Lynette Curran
Lynette Curran is an Australian actress known for her extensive work in film, television, and theatre since the 1960s.
-
C.
Lynette Feenstra
Lynette Feenstra is the wife of American politician and U.S. Representative Randy Feenstra of Iowa.
-
D.
Lynette White
Lynette White is a character in the television series "The District," which follows the professional and personal lives of law enforcement officials in Washington, D.C.
-
E.
Lynnette Armstrong
Lynnette Armstrong is a notable individual recognized for achievements significant enough to be associated with the surname Armstrong.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f826788190b11008cc94b2a4e4 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.