Triple
T33917240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuvira |
E869494
|
entity |
| Predicate | formerBodyguardOf |
P191205
|
FINISHED |
| Object | Suyin Beifong |
—
|
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: Suyin Beifong | Statement: [Kuvira, formerBodyguardOf, Suyin Beifong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerBodyguardOf Context triple: [Kuvira, formerBodyguardOf, Suyin Beifong]
-
A.
wasBodyguardFor
chosen
Indicates that one entity served as a bodyguard, providing personal protection or security, for another entity.
-
B.
leadActorPlaysBodyguard
Indicates that the lead actor portrays the role of a bodyguard.
-
C.
bodyguardType
Indicates the specific role or category of bodyguard service associated with an entity.
-
D.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
E.
notableAfterguardMember
Indicates that an individual is recognized as a prominent or distinguished member of a ship’s afterguard (the senior or aft-deck crew).
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffe6e2eb688190a45fd2c6415cd86a |
completed | May 10, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69ffe65939488190a35b9c2e9c7ad868 |
completed | May 10, 2026, 1:58 a.m. |
Created at: May 1, 2026, 1:48 a.m.