Triple
T2351185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Macbeth |
E47451
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Ari Wegner |
E279055
|
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: Ari Wegner | Statement: [Lady Macbeth, cinematographyBy, Ari Wegner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ari Wegner Context triple: [Lady Macbeth, cinematographyBy, Ari Wegner]
-
A.
Ari Wegner
chosen
Ari Wegner is an acclaimed Australian cinematographer known for her visually striking work on films such as "The Power of the Dog."
-
B.
Annalee Newman
Annalee Newman was the wife of influential American abstract expressionist painter Barnett Newman and an important steward of his artistic legacy.
-
C.
Jennifer Wenger
Jennifer Wenger is an American actress and producer known for her work in genre films and television, as well as for her marriage to actor Casper Van Dien.
-
D.
Darcie Schollmeyer
Darcie Schollmeyer is known as the wife of Hockey Hall of Famer and former NHL star Brett Hull.
-
E.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3544c5fcc8190b2d8d61449dfffb3 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 4, 2026, 7:54 p.m.