Triple
T15413213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Exegol |
E368643
|
entity |
| Predicate | keyParticipant |
P858
|
FINISHED |
| Object |
Babu Frik
Babu Frik is a tiny, skilled Anzellan droidsmith from Kijimi in the Star Wars universe, known for his expertise in reprogramming and hacking droids.
|
E1156946
|
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: Babu Frik | Statement: [Battle of Exegol, keyParticipant, Babu Frik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babu Frik Context triple: [Battle of Exegol, keyParticipant, Babu Frik]
-
A.
Mr. Bobo
Mr. Bobo is an eccentric, retired circus performer who lives upstairs from Coraline and obsessively trains a troupe of jumping mice in Neil Gaiman’s novella "Coraline."
-
B.
Bobby Bowfinger
Bobby Bowfinger is the desperate, low-budget movie producer and director played by Steve Martin in the 1999 comedy film "Bowfinger."
-
C.
Tati
"Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
-
D.
Tati
Tati is the endonym used by the Tat people to refer to themselves and their language.
-
E.
Buster Brown
Buster Brown was an Australian blues-rock band best known as an early vehicle for future AC/DC drummer Phil Rudd.
- 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: Babu Frik Triple: [Battle of Exegol, keyParticipant, Babu Frik]
Generated description
Babu Frik is a tiny, skilled Anzellan droidsmith from Kijimi in the Star Wars universe, known for his expertise in reprogramming and hacking droids.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babu Frik Target entity description: Babu Frik is a tiny, skilled Anzellan droidsmith from Kijimi in the Star Wars universe, known for his expertise in reprogramming and hacking droids.
-
A.
Mr. Bobo
Mr. Bobo is an eccentric, retired circus performer who lives upstairs from Coraline and obsessively trains a troupe of jumping mice in Neil Gaiman’s novella "Coraline."
-
B.
Bobby Bowfinger
Bobby Bowfinger is the desperate, low-budget movie producer and director played by Steve Martin in the 1999 comedy film "Bowfinger."
-
C.
Tati
"Tati" is a 2018 hip-hop single by American rapper Tekashi 6ix9ine, known for its aggressive style and energetic delivery.
-
D.
Tati
Tati is the endonym used by the Tat people to refer to themselves and their language.
-
E.
Buster Brown
Buster Brown was an Australian blues-rock band best known as an early vehicle for future AC/DC drummer Phil Rudd.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea7561481909b04e613e2352f82 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a754d1881909ed322479bab460d |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1b82a5e08190a906828a08c9ae93 |
completed | May 9, 2026, 11:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1f60e5888190a0271c9d55c5e3d8 |
completed | May 9, 2026, 11:49 a.m. |
Created at: April 10, 2026, 3:20 a.m.