Triple
T9238000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office Christmas Party |
E221984
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Scott Stuber |
E214905
|
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: Scott Stuber | Statement: [Office Christmas Party, producer, Scott Stuber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Stuber Context triple: [Office Christmas Party, producer, Scott Stuber]
-
A.
Scott Stuber
chosen
Scott Stuber is an American film producer and entertainment executive known for overseeing original films at Netflix and producing major Hollywood movies.
-
B.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
C.
Kirk Stievely
Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
-
D.
Steve Traxler
Steve Traxler is a theater and film producer best known for his work on the acclaimed stage and screen versions of "August: Osage County."
-
E.
Mark Stutzman
Mark Stutzman is an American illustrator and graphic artist known for his detailed, realistic style on book covers, posters, and commercial artwork.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09f9e908190801fe114c5e63984 |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178be71188190bb9bdb719dd4d12d |
completed | April 4, 2026, 8:46 p.m. |
Created at: March 30, 2026, 7:30 p.m.