Triple
T4625840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Dooku |
E101093
|
entity |
| Predicate | studentOf |
P48
|
FINISHED |
| Object | Yoda |
E205094
|
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: Yoda | Statement: [Count Dooku, studentOf, Yoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoda Context triple: [Count Dooku, studentOf, Yoda]
-
A.
Yoda
chosen
Yoda is a wise and powerful Jedi Master from the Star Wars universe, renowned for his mastery of the Force and his role as a mentor to generations of Jedi.
-
B.
Obi-Wan Kenobi
Obi-Wan Kenobi is a wise and powerful Jedi Master from the Star Wars saga who mentors Luke Skywalker and plays a pivotal role in the fight against the Galactic Empire.
-
C.
Qui-Gon Jinn
Qui-Gon Jinn is a wise and maverick Jedi Master in the Star Wars universe, known for mentoring Obi-Wan Kenobi and discovering Anakin Skywalker.
-
D.
Mace Windu
Mace Windu is a powerful Jedi Master and senior member of the Jedi Council in the Star Wars saga, known for his purple lightsaber and strict adherence to Jedi principles.
-
E.
Darth Vader
Darth Vader is an iconic Star Wars villain, a fallen Jedi turned Sith Lord whose black armor, mechanical breathing, and complex redemption arc have made him one of cinema’s most recognizable characters.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a08ef488190af46418229309b0f |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaab30508190881828adab92ba22 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:13 p.m.