Triple
T20740759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Experiment |
E510432
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | David Winkler |
—
|
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: David Winkler | Statement: [The Experiment, author, David Winkler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Winkler Context triple: [The Experiment, author, David Winkler]
-
A.
David Winkler
chosen
David Winkler is an author best known for writing the work titled "Good Advice."
-
B.
David Winkler
David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
-
C.
Dan Walser
Dan Walser is a screenwriter best known for co-writing the 2020 drama film "Concrete Cowboy."
-
D.
Mel Winkler
Mel Winkler was an American character actor best known for his distinctive voice work in video games and animation, as well as supporting roles in film and television.
-
E.
Scott Weinger
Scott Weinger is an American actor and writer best known for voicing the title character in Disney's animated film "Aladdin" and for his role as Steve Hale on the television series "Full House."
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.