Triple
T24385043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macbeth (2006 film) |
E614720
|
entity |
| Predicate | ladyMacbethPlayedBy |
P1507
|
FINISHED |
| Object | Victoria Hill |
—
|
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: Victoria Hill | Statement: [Macbeth (2006 film), ladyMacbethPlayedBy, Victoria Hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ladyMacbethPlayedBy Context triple: [Macbeth (2006 film), ladyMacbethPlayedBy, Victoria Hill]
-
A.
originalElizabethIActor
Indicates that the subject is the actor who originally portrayed the character of Elizabeth I in a given production or work.
-
B.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
C.
accusedCharacterPortrayedBy
Indicates that a particular actor or performer plays the role of the character who is accused within a given work.
-
D.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
E.
portrayedBy
chosen
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
- 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.