Triple
T7561560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qui-Gon Jinn |
E178804
|
entity |
| Predicate | visits |
P60586
|
FINISHED |
| Object | Tatooine |
E202730
|
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: Tatooine | Statement: [Qui-Gon Jinn, visits, Tatooine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatooine Context triple: [Qui-Gon Jinn, visits, Tatooine]
-
A.
Tatooine
chosen
Tatooine is a fictional desert planet in the Star Wars universe, best known as the homeworld of Anakin and Luke Skywalker.
-
B.
Hoth
Hoth is a fictional icy planet in the Star Wars universe, best known as the site of the Rebel Alliance's Echo Base and the Battle of Hoth in "The Empire Strikes Back."
-
C.
En-dor
En-dor is an ancient Canaanite village mentioned in the Hebrew Bible, best known as the place where King Saul consulted a medium before his final battle.
-
D.
Arrakis
Arrakis is the harsh desert planet central to the Dune universe, famed as the sole source of the powerful spice melange.
-
E.
Dagobah
Dagobah is a remote, swamp-covered planet in the Star Wars universe best known as the place where Jedi Master Yoda lives in exile and trains Luke Skywalker.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f847c48190a1081aa9de7ff945 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d0cbfc8190b2cb2b601a7b078c |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.