Triple
T5142409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A24 |
E115987
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Witch |
E311676
|
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: The Witch | Statement: [A24, notableWork, The Witch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Witch Context triple: [A24, notableWork, The Witch]
-
A.
The Witch
chosen
The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
-
B.
The Witch
The Witch is a central, morally complex sorceress in the musical fantasy "Into the Woods," known for driving the plot through her curses, bargains, and eventual transformation.
-
C.
The Witch
The Witch is a mysterious, prophetic figure in the film "Big Fish" who reveals to the protagonist how he will die, profoundly shaping his fearless approach to life.
-
D.
Burn the Witch
"Burn the Witch" is a 2016 Radiohead song known for its tense, orchestral arrangement and politically charged lyrics critiquing authoritarianism and social paranoia.
-
E.
Agent Whiskey
Agent Whiskey is a suave, lasso-wielding Statesman secret agent from the film "Kingsman: The Golden Circle," portrayed by Pedro Pascal.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787ff1c081909a6954aa76e12cbf |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfe7370c8190a47070487b461114 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.