Triple
T10543003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindy Sterling |
E248742
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mindy Sterling |
E248742
|
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: Mindy Sterling | Statement: [Mindy Sterling, name, Mindy Sterling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindy Sterling Context triple: [Mindy Sterling, name, Mindy Sterling]
-
A.
Mindy Sterling
chosen
Mindy Sterling is an American actress and comedian best known for her role as the villainous Frau Farbissina in the Austin Powers film series.
-
B.
Mindy Collette
Mindy Collette is a character from the television series "Friday Night Lights," known as Tyra Collette’s older sister who works at a local strip club and later struggles to build a more stable family life.
-
C.
June Mindy
June Mindy is a fictional character in the film "Don't Look Up," portrayed as the wife of astronomer Dr. Randall Mindy.
-
D.
Danielle Harris
Danielle Harris is an American actress best known for her prominent roles in horror films, particularly the Halloween franchise and other genre favorites.
-
E.
Amy Stryker
Amy Stryker is an American actress known for her roles in 1970s and 1980s film and television productions.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190f46d08190a92b1191881ffb92 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9342e6cf48190b0ca53ff2a4e0214 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.