Triple
T17335792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saw Gerrera |
E420929
|
entity |
| Predicate | roleInRogueOne |
P127062
|
FINISHED |
| Object | mentor to Jyn Erso |
—
|
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: mentor to Jyn Erso | Statement: [Saw Gerrera, roleInRogueOne, mentor to Jyn Erso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRogueOne Context triple: [Saw Gerrera, roleInRogueOne, mentor to Jyn Erso]
-
A.
roleDuringCloneWars
Indicates the specific function, position, or duties an entity held during the time period of the Clone Wars.
-
B.
typeOfRebel
Indicates that one entity is a rebel belonging to, or classified under, a particular type or category of rebellion.
-
C.
roleInAlienCovenant
Indicates that an entity has a role or participation in the film "Alien: Covenant."
-
D.
C-32BRole
Indicates that an entity holds or is assigned a specific role or function within the context labeled C-32B.
-
E.
roleInNebula
Indicates that an entity holds a specific function, position, or involvement within a particular nebula.
- F. None of above. chosen
Provenance (4 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a121aa081908a62fa59d3d28765 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.