Triple
T14303083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Guggenheim |
E354618
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Lucasfilm |
E32166
|
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: Lucasfilm | Statement: [Ralph Guggenheim, employer, Lucasfilm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucasfilm Context triple: [Ralph Guggenheim, employer, Lucasfilm]
-
A.
Lucasfilm
chosen
Lucasfilm is a renowned American film and television production company best known for creating the Star Wars and Indiana Jones franchises.
-
B.
Lucasfilm Story Group
The Lucasfilm Story Group is a team within Lucasfilm responsible for overseeing and maintaining the continuity and canon of Star Wars storytelling across films, television, books, comics, and other media.
-
C.
Disney–Lucasfilm Press
Disney–Lucasfilm Press is a publishing imprint of Disney that produces books and related media tied to the Star Wars and other Lucasfilm franchises.
-
D.
Alcor Films
Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
-
E.
Endor Productions
Endor Productions is a British television production company known for creating high-quality drama series and films for major broadcasters and streaming platforms.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2883e081909c53170ef30b4125 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.