Triple
T4104938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lando Calrissian |
E88426
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Leia Organa |
E202727
|
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: Leia Organa | Statement: [Lando Calrissian, friendOf, Leia Organa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leia Organa Context triple: [Lando Calrissian, friendOf, Leia Organa]
-
A.
Princess Leia
chosen
Princess Leia is a courageous Rebel leader and princess who becomes one of the central heroes of the original Star Wars trilogy.
-
B.
Charena Swann
Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
-
C.
Padmé Amidala
Padmé Amidala is a courageous and idealistic queen-turned-senator from the Star Wars saga, known for her political leadership, diplomacy, and pivotal role in the fall of the Republic and rise of the Empire.
-
D.
Fennec Shand
Fennec Shand is a skilled mercenary and elite assassin in the Star Wars universe who becomes a close ally and enforcer to Boba Fett.
-
E.
Maz Kanata
Maz Kanata is a wise, centuries-old pirate and Force-sensitive ally who runs a castle on Takodana and aids the heroes in the Star Wars sequel trilogy.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd31bad88190b850d1dcba14de60 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7cdc088190a63f6c6d39ca4350 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:40 p.m.