Triple
T13541043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaches (2017 film) |
E323385
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Idina Menzel |
E33817
|
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: Idina Menzel | Statement: [Beaches (2017 film), starredActor, Idina Menzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idina Menzel Context triple: [Beaches (2017 film), starredActor, Idina Menzel]
-
A.
Idina Menzel
chosen
Idina Menzel is an American actress and singer best known for her powerful Broadway performances in shows like "Wicked" and for voicing Elsa in Disney's "Frozen."
-
B.
Idina Kim Mentzel
Idina Kim Mentzel, known professionally as Idina Menzel, is an American actress and singer celebrated for her powerful Broadway performances and for voicing Elsa in Disney’s Frozen.
-
C.
Marta Robbins
Marta Robbins is a fictional Starfleet lieutenant featured in the Star Trek universe.
-
D.
Jane Monheit
Jane Monheit is an American jazz and pop vocalist known for her rich, expressive voice and interpretations of standards and contemporary songs.
-
E.
Jennifer Holden
Jennifer Holden is an American actress best known for her role opposite Elvis Presley in the 1957 musical drama film "Jailhouse Rock."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.