Triple
T9853944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady in White |
E239537
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Steve Mirkovich |
E463831
|
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: Steve Mirkovich | Statement: [The Lady in White, editor, Steve Mirkovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Mirkovich Context triple: [The Lady in White, editor, Steve Mirkovich]
-
A.
Steve Mirkovich
chosen
Steve Mirkovich is a film editor best known for his work on major Hollywood movies, including the teen slasher hit "I Know What You Did Last Summer."
-
B.
Mike Malloy
Mike Malloy is a progressive American radio talk show host known for his outspoken, left-leaning political commentary and work on various liberal talk radio networks.
-
C.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
D.
Bob Cmelik
Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
-
E.
Kevin DiCicco
Kevin DiCicco is a screenwriter best known for creating and writing the family sports film franchise featuring the basketball-playing dog Air Bud.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2287bbdf88190acd23f9572213e8a |
completed | April 5, 2026, 9:16 a.m. |
Created at: March 30, 2026, 8:34 p.m.