Triple
T31104688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House Corrino |
E792761
|
entity |
| Predicate | IrulanCorrinoRole |
P171153
|
FINISHED |
| Object | Imperial Princess |
—
|
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: Imperial Princess | Statement: [House Corrino, IrulanCorrinoRole, Imperial Princess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IrulanCorrinoRole Context triple: [House Corrino, IrulanCorrinoRole, Imperial Princess]
-
A.
roleOnGalactica
Indicates the specific position, duty, or function an entity holds aboard the Battlestar Galactica.
-
B.
roleInAlienCovenant
Indicates that an entity has a role or participation in the film "Alien: Covenant."
-
C.
roleInElysium
Indicates that an entity holds a specific role, position, or function within the context of Elysium.
-
D.
roleInDUNE
Indicates that an entity has a specific acting role or participation in the production of the film "Dune."
-
E.
roleInTauris
Indicates that an entity has a specific role or function within the context of Tauris (e.g., a work, setting, or domain associated with Tauris).
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6e0b888190a417ae712c42db0d |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:03 p.m.