Triple
T9966874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jim Henson Company |
E195704
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Farscape |
E510456
|
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: Farscape | Statement: [The Jim Henson Company, notableWork, Farscape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farscape Context triple: [The Jim Henson Company, notableWork, Farscape]
-
A.
Farscape
chosen
Farscape is a science fiction television series known for its imaginative alien characters, dark humor, and complex storytelling, in which Claudia Black plays a leading role.
-
B.
Babylon 5
Babylon 5 is a 1990s science fiction television series set on a space station that serves as a political and military hub amid rising interstellar tensions and wars.
-
C.
Outlaw Star
Outlaw Star is a late-1990s sci-fi anime series following Gene Starwind and his crew on spacefaring adventures, known in the West for its prominent broadcast on Cartoon Network’s Toonami block.
-
D.
The Firefly
The Firefly is a 1912 operetta by composer Rudolf Friml, best known for its romantic score and songs like "Giannina Mia."
-
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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71dc50081909329722dc087c9f6 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dad53ac819097c4b687d49bd790 |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.