Triple
T4625850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Dooku |
E101093
|
entity |
| Predicate | reasonForLeavingJediOrder |
P15987
|
FINISHED |
| Object | disillusionment with the Galactic Republic |
—
|
LITERAL 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: disillusionment with the Galactic Republic | Statement: [Count Dooku, reasonForLeavingJediOrder, disillusionment with the Galactic Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForLeavingJediOrder Context triple: [Count Dooku, reasonForLeavingJediOrder, disillusionment with the Galactic Republic]
-
A.
reasonForLeaving
chosen
Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
-
B.
reasonForDisbandment
Indicates the cause or circumstance that led to a group, organization, or entity being dissolved or disbanded.
-
C.
reasonForScuttling
Indicates the specific cause or motivation that led to a vessel being deliberately scuttled.
-
D.
reasonForAbdication
Indicates the specific cause, motive, or circumstances that led an individual to formally abdicate a position of authority or power.
-
E.
goalOfRebelSide
Indicates that the specified goal is pursued or held by the rebel side in a conflict or opposition scenario.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.