Triple
T8135303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Shaffer |
E189954
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Frenzy |
E385668
|
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: Frenzy | Statement: [Anthony Shaffer, notableWork, Frenzy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frenzy Context triple: [Anthony Shaffer, notableWork, Frenzy]
-
A.
Frenzy
chosen
Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
-
B.
Frenzy
"Frenzy" is a popular Nigerian Afropop song by artist D'Prince, known for its energetic beat and club-friendly vibe.
-
C.
Frenesi
"Frenesi" is a popular 1940 jazz and big band standard closely associated with clarinetist and bandleader Artie Shaw.
-
D.
Blind Fury
Blind Fury is a 1989 action film about a blind Vietnam veteran and master swordsman who protects a young boy from ruthless criminals.
-
E.
The Rage
The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43fff6e0819086c95b571272b50c |
completed | March 31, 2026, 3:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc949065248190b67ba7aa2688903e |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 5:35 p.m.