Triple
T4209255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Wars Rebels |
E93858
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Hera Syndulla
Hera Syndulla is a skilled Twi'lek pilot and leader of the Ghost crew in the Star Wars universe, known for her pivotal role in the early Rebel Alliance.
|
E420919
|
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: Hera Syndulla | Statement: [Star Wars Rebels, mainCharacter, Hera Syndulla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hera Syndulla Context triple: [Star Wars Rebels, mainCharacter, Hera Syndulla]
-
A.
Fennec Shand
Fennec Shand is a skilled mercenary and elite assassin in the Star Wars universe who becomes a close ally and enforcer to Boba Fett.
-
B.
Rose Tico
Rose Tico is a Resistance mechanic-turned-hero in the Star Wars sequel trilogy who fights alongside Finn against the First Order.
-
C.
Maz Kanata
Maz Kanata is a wise, centuries-old pirate and Force-sensitive ally who runs a castle on Takodana and aids the heroes in the Star Wars sequel trilogy.
-
D.
Lara Lor-Van
Lara Lor-Van is a Kryptonian scientist and the biological mother of Superman (Kal-El) in the DC Comics universe.
-
E.
Charena Swann
Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
- 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: Hera Syndulla Triple: [Star Wars Rebels, mainCharacter, Hera Syndulla]
Generated description
Hera Syndulla is a skilled Twi'lek pilot and leader of the Ghost crew in the Star Wars universe, known for her pivotal role in the early Rebel Alliance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hera Syndulla Target entity description: Hera Syndulla is a skilled Twi'lek pilot and leader of the Ghost crew in the Star Wars universe, known for her pivotal role in the early Rebel Alliance.
-
A.
Fennec Shand
Fennec Shand is a skilled mercenary and elite assassin in the Star Wars universe who becomes a close ally and enforcer to Boba Fett.
-
B.
Rose Tico
Rose Tico is a Resistance mechanic-turned-hero in the Star Wars sequel trilogy who fights alongside Finn against the First Order.
-
C.
Maz Kanata
Maz Kanata is a wise, centuries-old pirate and Force-sensitive ally who runs a castle on Takodana and aids the heroes in the Star Wars sequel trilogy.
-
D.
Lara Lor-Van
Lara Lor-Van is a Kryptonian scientist and the biological mother of Superman (Kal-El) in the DC Comics universe.
-
E.
Charena Swann
Charena Swann is the wife of former NFL star and Pro Football Hall of Famer Lynn Swann.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3480f80208190b08ca6ccfe9c41f6 |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962bb63c81909e28a958323edb82 |
completed | March 14, 2026, 5:08 p.m. |
| NEDg | Description generation | batch_69b596b7330081908c66a5a756531ffd |
completed | March 14, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5976663d88190a73a729554e91074 |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:03 p.m.