Triple
T22029962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banquo’s ghost banquet scene |
E544057
|
entity |
| Predicate | notableLineSpokenByLadyMacbeth |
P2181
|
FINISHED |
| Object | “Are you a man?” |
—
|
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: “Are you a man?” | Statement: [Banquo’s ghost banquet scene, notableLineSpokenByLadyMacbeth, “Are you a man?”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLineSpokenByLadyMacbeth Context triple: [Banquo’s ghost banquet scene, notableLineSpokenByLadyMacbeth, “Are you a man?”]
-
A.
famousLineSpeaker
Indicates that the subject is the person who spoke or delivered the famous line referenced by the object.
-
B.
dialogueLine
Indicates that one entity is a specific spoken or written line of dialogue expressed by another entity (such as a character or speaker).
-
C.
precededInSecondLadyRoleBy
Indicates that one person held the role of Second Lady immediately before another person, establishing a direct predecessor relationship in that position.
-
D.
spokenBy
chosen
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
-
E.
famousPlayInvolvedIn
Indicates that a famous play is involved in, or associated with, a particular event, production, or context.
- 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.