Triple
T10201173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimes of the Future (2022 film) |
E238882
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Saul Tenser |
E847399
|
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: Saul Tenser | Statement: [Crimes of the Future (2022 film), character, Saul Tenser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saul Tenser Context triple: [Crimes of the Future (2022 film), character, Saul Tenser]
-
A.
Saul Tenser
chosen
Saul Tenser is the performance-artist protagonist of David Cronenberg’s 2022 body-horror film "Crimes of the Future," known for publicly showcasing the surgical removal of his continually mutating internal organs.
-
B.
Qohen Leth
Qohen Leth is a reclusive, existentially tormented computer genius who serves as the protagonist of Terry Gilliam’s dystopian science fiction film "The Zero Theorem."
-
C.
Ranon Ufgood
Ranon Ufgood is a character from the fantasy film "Willow," known as one of Willow Ufgood's children in the Nelwyn village.
-
D.
Herb Tarlek
Herb Tarlek is a loud, tacky-suited, and comically inept advertising salesman character from the WKRP in Cincinnati television franchise.
-
E.
Samuel Lord
Samuel Lord was a 19th-century English-born American merchant best known for establishing the iconic New York department store Lord & Taylor.
- 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_69d32afa75ec8190bbaf2e69b4ee24f1 |
completed | April 6, 2026, 3:39 a.m. |
Created at: March 30, 2026, 9:14 p.m.