Triple
T9942160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klyden |
E194108
|
entity |
| Predicate | franchise |
P1500
|
FINISHED |
| Object | The Orville franchise |
E5047
|
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: The Orville franchise | Statement: [Klyden, franchise, The Orville franchise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Orville franchise Context triple: [Klyden, franchise, The Orville franchise]
-
A.
The Orville
chosen
The Orville is a science fiction comedy-drama television series created by and starring Seth MacFarlane that parodies and pays homage to classic space exploration shows like Star Trek.
-
B.
Project Hail Mary
Project Hail Mary is a science fiction novel by Andy Weir about a lone astronaut on a desperate mission to save Earth from an existential threat.
-
C.
The Firefly
The Firefly is a 1912 operetta by composer Rudolf Friml, best known for its romantic score and songs like "Giannina Mia."
-
D.
Resident Aliens
Resident Aliens is a influential theological book by Stanley Hauerwas (with William H. Willimon) that argues the church should live as a distinct, countercultural community within contemporary society.
-
E.
Firefly
Firefly is an Amazon-developed visual and audio recognition feature that lets users quickly identify products, media, and other real-world items using a smartphone camera or microphone.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269e28f0081908244f9f469b15ec1 |
completed | April 5, 2026, 1:55 p.m. |
Created at: March 30, 2026, 8:44 p.m.