Triple
T22029948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banquo’s ghost banquet scene |
E544057
|
entity |
| Predicate | MacbethReaction |
P120724
|
FINISHED |
| Object | terror |
—
|
LITERAL 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: terror | Statement: [Banquo’s ghost banquet scene, MacbethReaction, terror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MacbethReaction Context triple: [Banquo’s ghost banquet scene, MacbethReaction, terror]
-
A.
protagonistReaction
chosen
Indicates how a main character responds emotionally or behaviorally to a particular event, situation, or stimulus.
-
B.
reactionToProphecy
Indicates how an entity responds or behaves in consequence to a given prophecy.
-
C.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
-
D.
reactionToAntonyDeath
Indicates the emotional or behavioral response an entity has to the death of Antony.
-
E.
isAReactionTo
Indicates that one event, action, or state occurs as a direct response or consequence of another.
- F. None of above.
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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ed0cb08190aead0838cc62934c |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.