Triple
T20971427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superman/Batman: Apocalypse |
E516507
|
entity |
| Predicate | voiceCast |
P18510
|
FINISHED |
| Object | Susan Eisenberg |
—
|
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: Susan Eisenberg | Statement: [Superman/Batman: Apocalypse, voiceCast, Susan Eisenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Eisenberg Context triple: [Superman/Batman: Apocalypse, voiceCast, Susan Eisenberg]
-
A.
Susan Eisenberg
chosen
Susan Eisenberg is an American voice actress best known for portraying Wonder Woman in numerous DC animated series and films.
-
B.
Kerri Eisenberg
Kerri Eisenberg is an American actress and voice actress known for her work in film and television, and as the older sister of actress Hallie Kate Eisenberg.
-
C.
Lori Weintraub
Lori Weintraub is an American film and television producer best known for her long marriage to actor Miguel Ferrer.
-
D.
Jodi Wexler
Jodi Wexler is an actress best known for her role in the film "The Love Machine."
-
E.
Amy Eisenberg
Amy Eisenberg is a member of the Eisenberg family, known publicly as a relative of actress Hallie Kate Eisenberg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba027708190a49e95b0031d980d |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:43 p.m.