Triple
T22946997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoetrope Studios |
E569900
|
entity |
| Predicate | keyFigure |
P256
|
FINISHED |
| Object | George Lucas |
—
|
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: George Lucas | Statement: [Zoetrope Studios, keyFigure, George Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Lucas Context triple: [Zoetrope Studios, keyFigure, George Lucas]
-
A.
George Lucas
chosen
George Lucas is an American filmmaker and entrepreneur best known as the creator of the Star Wars and Indiana Jones franchises and the founder of Lucasfilm.
-
B.
George Joseph Lucas
George Joseph Lucas is an American Roman Catholic prelate who has served as the Archbishop of Omaha, Nebraska.
-
C.
Georges Lucas
Georges Lucas was a cinematographer active in early 20th-century cinema, notably working on the 1928 film adaptation of "The Fall of the House of Usher."
-
D.
Gary Kurtz
Gary Kurtz was an American film producer best known for his work on landmark films of the 1970s and 1980s, including the original Star Wars and The Empire Strikes Back.
-
E.
Mike Reiss
Mike Reiss is an American television writer and producer best known for his long-running work on the animated series "The Simpsons."
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819e559c81909e63acfc23f9476b |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.