Triple
T16154073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori McCreary |
E391989
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lori McCreary |
—
|
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: Lori McCreary | Statement: [Lori McCreary, name, Lori McCreary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lori McCreary Context triple: [Lori McCreary, name, Lori McCreary]
-
A.
Lori McCreary
chosen
Lori McCreary is an American film and television producer, co-founder of Revelations Entertainment, and longtime producing partner of actor Morgan Freeman.
-
B.
Lori Forte
Lori Forte is a film producer best known for her work on the animated "Ice Age" franchise and other projects at Blue Sky Studios.
-
C.
Jorja Curtright
Jorja Curtright was an American actress and novelist best known for her work in mid-20th-century film and television and for being married to writer Sidney Sheldon.
-
D.
Jennifer McDaniel
Jennifer McDaniel is an American makeup artist best known for her former marriage to professional wrestling icon Hulk Hogan.
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:01 a.m.