Triple
T2479523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady in the Dark |
E55179
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Liza Elliott |
E312789
|
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: Liza Elliott | Statement: [Lady in the Dark, protagonist, Liza Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liza Elliott Context triple: [Lady in the Dark, protagonist, Liza Elliott]
-
A.
Liza Elliott
chosen
Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
-
B.
Liza Todd
Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
-
C.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
D.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
E.
Lili Simmons
Lili Simmons is an American actress and model known for her roles in television series such as Banshee, True Detective, and The Purge.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd15f95888190a94b5fef7fdf1bcb |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de74f20881909e69b7fba1c4abaa |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 6, 2026, 9:45 p.m.