Triple
T11368310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niamh Algar |
E269270
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Censor |
E921723
|
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: Censor | Statement: [Niamh Algar, hasActedIn, Censor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Censor Context triple: [Niamh Algar, hasActedIn, Censor]
-
A.
Censor
chosen
Censor is a 2021 British psychological horror film about a film censor who becomes obsessed with a mysterious video that seems connected to her sister’s disappearance.
-
B.
The Censor
The Censor is a work by British novelist John Gardner that reflects his characteristic blend of psychological insight and moral complexity.
-
C.
Censorshit
Censorshit is a song by the Ramones, featured on their 1992 album "Mondo Bizarro," known for its critique of music censorship and moral panic.
-
D.
Censura Forensis
Censura Forensis is a significant 17th-century legal treatise by Dutch jurist Simon van Leeuwen that systematically analyzes and critiques contemporary civil and canon law.
-
E.
Taboo
Taboo is a song by the Latin rock band Santana featured on their 1971 album "Santana III."
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea89e1148190b0ca29db9d7e2cbd |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bdaabd48190ab533c1c7f3b5fd8 |
completed | April 20, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:33 p.m.