Triple
T13699603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The High Table |
E328481
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Derek Kolstad |
E66905
|
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: Derek Kolstad | Statement: [The High Table, createdBy, Derek Kolstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Kolstad Context triple: [The High Table, createdBy, Derek Kolstad]
-
A.
Derek Kolstad
chosen
Derek Kolstad is an American screenwriter best known as the creator and primary writer of the John Wick action film franchise.
-
B.
Eric Brooks
Eric Brooks is the human-vampire hybrid vampire hunter better known as the Marvel Comics character Blade.
-
C.
Dale Story
Dale Story is an American long-distance runner best known for his standout collegiate cross-country performances in the early 1960s.
-
D.
Michael Finnell
Michael Finnell is an American film producer best known for his work on popular 1980s and 1990s genre films, including collaborations with director Joe Dante.
-
E.
Michael Arndt
Michael Arndt is an Academy Award–winning American screenwriter known for acclaimed films such as Little Miss Sunshine and Toy Story 3.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8437af481909f91bb41bfdac53a |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:54 p.m.