Triple
T8008233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kylo Ren |
E186417
|
entity |
| Predicate | publisher |
P29
|
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: [Kylo Ren, publisher, Lucasfilm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucasfilm Context triple: [Kylo Ren, publisher, 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.
Alcor Films
Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
-
C.
Eon Productions
Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
-
D.
Fantasy Studios
Fantasy Studios was a renowned recording facility in Berkeley, California, known for hosting sessions by prominent rock, jazz, and film soundtrack artists.
-
E.
Roddenberry Entertainment
Roddenberry Entertainment is a media production company founded by the family of Star Trek creator Gene Roddenberry, dedicated to developing and preserving science fiction properties and the Star Trek legacy.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6e1c9081909018bcebb18906f6 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc569e90d48190a1bf1495496017f8 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:19 p.m.