Triple
T24385046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macbeth (2006 film) |
E614720
|
entity |
| Predicate | macduffPlayedBy |
P9616
|
FINISHED |
| Object | Steve Bastoni |
—
|
NE NERFINISHED |
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: Steve Bastoni | Statement: [Macbeth (2006 film), macduffPlayedBy, Steve Bastoni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: macduffPlayedBy Context triple: [Macbeth (2006 film), macduffPlayedBy, Steve Bastoni]
-
A.
JacobiteLeader
Indicates that a person holds a leadership role within the Jacobite movement or cause.
-
B.
characterPlayedByRobertPatrick
Indicates that a given character is portrayed or acted by Robert Patrick.
-
C.
دور رئيسي
Indicates that an entity plays a primary or leading role in an action, event, or relationship compared to other involved entities.
-
D.
James Pearson
Indicates a relationship or action involving the entity named "James Pearson" and another entity, event, or attribute, depending on context.
-
E.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294540000819099bacb398a36204f |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:03 a.m.