Triple
T10201780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xena: Warrior Princess |
E238899
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Sam Raimi |
E82981
|
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: Sam Raimi | Statement: [Xena: Warrior Princess, developer, Sam Raimi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Raimi Context triple: [Xena: Warrior Princess, developer, Sam Raimi]
-
A.
Sam Raimi
chosen
Sam Raimi is an American filmmaker best known for directing the original Spider-Man trilogy and creating the cult-favorite Evil Dead horror series.
-
B.
Lorne Raimi
Lorne Raimi is one of the children of American filmmaker Sam Raimi.
-
C.
Ivan Raimi
Ivan Raimi is an American physician and screenwriter best known for co-writing several films and projects with his brother, director Sam Raimi.
-
D.
Ted Raimi
Ted Raimi is an American character actor and director known for his roles in cult horror and fantasy projects such as the Evil Dead series and the TV show Xena: Warrior Princess.
-
E.
Jon Spaihts
Jon Spaihts is an American screenwriter and producer best known for his work on major science fiction and blockbuster films such as "Prometheus," "Doctor Strange," and "Dune."
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317fcdf18819092d0f3f216edffdc |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.