Triple
T8562904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatooine |
E202730
|
entity |
| Predicate | sunsName |
P744
|
FINISHED |
| Object | Tatoo II |
E743548
|
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: Tatoo II | Statement: [Tatooine, sunsName, Tatoo II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatoo II Context triple: [Tatooine, sunsName, Tatoo II]
-
A.
Tatoo I
chosen
Tatoo I is one of the two suns of the desert planet Tatooine in the Star Wars universe.
-
B.
Tatoo system
The Tatoo system is the fictional binary star system in the Star Wars universe that includes the desert planet Tatooine, homeworld of Anakin and Luke Skywalker.
-
C.
Scorpion II
Scorpion II was a predynastic Egyptian ruler, likely a king of Upper Egypt, who reigned shortly before the unification of Egypt under Narmer.
-
D.
Two Tars
Two Tars is a 1928 silent short comedy film starring the iconic duo Laurel and Hardy, known for its chaotic slapstick car-wreck sequence.
-
E.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457ab8b08190a53c730417288deb |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea871dd3081908e24c4d1c60a8381 |
completed | April 2, 2026, 5:33 p.m. |
Created at: March 30, 2026, 6:20 p.m.