Triple
T3351751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Islands |
E70511
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Beru |
E91904
|
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: Beru | Statement: [Gilbert Islands, hasIsland, Beru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beru Context triple: [Gilbert Islands, hasIsland, Beru]
-
A.
Beru
chosen
Beru is a low-lying coral atoll in the southern Gilbert Islands of Kiribati, known for its traditional villages, lagoon, and vulnerability to sea-level rise.
-
B.
Ahsoka
Ahsoka is a live-action Star Wars television series centered on former Jedi Padawan Ahsoka Tano, continuing her story in the era after the fall of the Empire.
-
C.
Princess Leia
Princess Leia is a courageous Rebel leader and princess who becomes one of the central heroes of the original Star Wars trilogy.
-
D.
Cara Dune
Cara Dune is a former Rebel shock trooper turned mercenary who becomes a key ally to the titular bounty hunter in the Star Wars series "The Mandalorian."
-
E.
Charena Swann
Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb221a7d8819086cd0f826eca0fe8 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3252f3f248190bb61db5c4fd2781a |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:12 p.m.