Triple
T16096391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashyyyk |
E390493
|
entity |
| Predicate | notableResident |
P1092
|
FINISHED |
| Object |
Gungi
Gungi is a Wookiee Jedi youngling from the Star Wars universe, known for his distinctive wooden lightsaber and appearances in The Clone Wars.
|
E1193965
|
NE FINISHED |
How this triple was built (4 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: Gungi | Statement: [Kashyyyk, notableResident, Gungi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gungi Context triple: [Kashyyyk, notableResident, Gungi]
-
A.
Mungiki
Mungiki is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands known for its raised coral limestone formation and Polynesian culture.
-
B.
Pianoti
Pianoti are the inhabitants of Piana degli Albanesi, a historic Arbëreshë (Albanian-Italian) community in Sicily known for preserving Albanian language and traditions.
-
C.
Kitakata
Kitakata is a city in northern Japan renowned for its traditional kura storehouses and distinctive Kitakata-style ramen.
-
D.
Touki Bouki
Touki Bouki is a 1973 Senegalese avant-garde road film by Djibril Diop Mambéty, celebrated for its innovative style and critique of postcolonial society.
-
E.
Yoyo
"Yoyo" is a popular Afropop song by Nigerian singer and producer Selebobo, known for its catchy melody and danceable rhythm.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gungi Triple: [Kashyyyk, notableResident, Gungi]
Generated description
Gungi is a Wookiee Jedi youngling from the Star Wars universe, known for his distinctive wooden lightsaber and appearances in The Clone Wars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gungi Target entity description: Gungi is a Wookiee Jedi youngling from the Star Wars universe, known for his distinctive wooden lightsaber and appearances in The Clone Wars.
-
A.
Mungiki
Mungiki is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands known for its raised coral limestone formation and Polynesian culture.
-
B.
Pianoti
Pianoti are the inhabitants of Piana degli Albanesi, a historic Arbëreshë (Albanian-Italian) community in Sicily known for preserving Albanian language and traditions.
-
C.
Kitakata
Kitakata is a city in northern Japan renowned for its traditional kura storehouses and distinctive Kitakata-style ramen.
-
D.
Touki Bouki
Touki Bouki is a 1973 Senegalese avant-garde road film by Djibril Diop Mambéty, celebrated for its innovative style and critique of postcolonial society.
-
E.
Yoyo
"Yoyo" is a popular Afropop song by Nigerian singer and producer Selebobo, known for its catchy melody and danceable rhythm.
- F. None of above. chosen
Provenance (5 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e18593d0fc8190aa3ba3edb4219aaa |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb991ba88190ad568a49069f9701 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:59 a.m.