Triple
T17719351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa Randle |
E442289
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Theresa Burnett |
E1373756
|
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: Theresa Burnett | Statement: [Theresa Randle, portrayed, Theresa Burnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theresa Burnett Context triple: [Theresa Randle, portrayed, Theresa Burnett]
-
A.
Theresa Burnett
chosen
Theresa Burnett is a fictional character in the "Bad Boys" film series, known as the supportive yet strong-willed wife of detective Marcus Burnett.
-
B.
Ann Butterfield
Ann Butterfield is a fictional character from the romantic drama film "Endless Love."
-
C.
Theresa Russell
Theresa Russell is an American actress known for her intense and often provocative performances in films such as "Bad Timing," "Black Widow," and "Track 29."
-
D.
Laura Garrety
Laura Garrety is a central character in the dark comedy film "Very Bad Things," around whom much of the movie’s escalating chaos and moral collapse revolves.
-
E.
Paula Throckmorton
Paula Throckmorton is an American jewelry designer and writer best known as the wife of journalist and political commentator Fareed Zakaria.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e474844ff48190b1cf181eb9c113d9 |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b10a120819091623eef93c7f29d |
completed | May 15, 2026, 3:26 p.m. |
Created at: April 10, 2026, 10:07 a.m.